Staff Engineer - Ruby UK & EU (remote) About the company At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2x year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. What you'll be doing Acting as a Staff IC across a pillar, shaping technical direction and driving delivery across multiple squads Partnering with senior peers to define architecture and lead complex, high impact initiatives Bringing teams together to ship ambitious product work that improves users' financial health Building shared systems, patterns, and tooling that raise the bar across engineering Staying hands on in our Ruby on Rails monolith - designing APIs, data models, and scalable services Anticipating risks and opportunities early, influencing plans and technical strategy Mentoring engineers and TLs, growing the next generation of technical leaders About you You're excited by the opportunity to own and influence technical direction at a pillar level You've operated at senior/staff level across multiple teams or complex domains You bring strong technical judgment and think in long term, scalable solutions You're comfortable leading without authority and aligning teams around a shared direction You have a track record of building systems and practices used beyond your immediate team You enjoy mentoring and raising the bar for others You have strong, hands on experience with Ruby on Rails (essential) You're based in the UK or Europe; we hire hybrid & remote in the UK & fully remotely across the EU. We love distributed teams. For this role, we're ideally looking for candidates based within one hour either side of London time, to keep collaboration smooth and calendars sane. Our Tech Stack Cleo is built as a Ruby on Rails monolith with a single React Native app frontend, utilising TypeScript. We also leverage Python for machine learning services and PostgreSQL for our database, all hosted on AWS. Our CI/CD pipeline is fully automated, with production deployments happening on every merge via Kubernetes. Our backend engineers deploy multiple times a week, and we release our frontend app to Google and Apple for review at least once a week. While we take a pragmatic approach, we place a strong emphasis on quality. Our code is peer reviewed, and we maintain automated testing using Minitest and CircleCI. We're also actively working towards a more modular architecture, focusing on separating concerns to achieve all the benefits of microservices within a monolith, while progressively refactoring our code as we build new features. Everyone in the engineering team contributes to driving our technical strategy, voices & ideas from all levels are valued: we are all owners at Cleo. What do you get for all your hard work? A competitive compensation package (base + equity) with 3 annual reviews, aligned to our termly OKR planning cycles. You can view our public progression framework and salary bandings here: Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London in the UK or EU, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other benefits. Company wide performance reviews every 4 months Generous pay increases for high performing team members Equity top ups for team members getting promoted An additional day for every year you spend at Cleo (up to 30 days) 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in person We'll pay for your OpenAI + Claude subscription Online mental health support via Spill And many more, depending on your location! We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. App access: The Cleo app is downloadable in the UK & USA. We're not currently in the EU. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. We can share a slide deck detailing the apps capabilities in more detail though, to help you through the interview process. By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Cleo AI. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Cleo AI may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Cleo AI's Candidate Privacy Notice.
25/06/2026
Full time
Staff Engineer - Ruby UK & EU (remote) About the company At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2x year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. What you'll be doing Acting as a Staff IC across a pillar, shaping technical direction and driving delivery across multiple squads Partnering with senior peers to define architecture and lead complex, high impact initiatives Bringing teams together to ship ambitious product work that improves users' financial health Building shared systems, patterns, and tooling that raise the bar across engineering Staying hands on in our Ruby on Rails monolith - designing APIs, data models, and scalable services Anticipating risks and opportunities early, influencing plans and technical strategy Mentoring engineers and TLs, growing the next generation of technical leaders About you You're excited by the opportunity to own and influence technical direction at a pillar level You've operated at senior/staff level across multiple teams or complex domains You bring strong technical judgment and think in long term, scalable solutions You're comfortable leading without authority and aligning teams around a shared direction You have a track record of building systems and practices used beyond your immediate team You enjoy mentoring and raising the bar for others You have strong, hands on experience with Ruby on Rails (essential) You're based in the UK or Europe; we hire hybrid & remote in the UK & fully remotely across the EU. We love distributed teams. For this role, we're ideally looking for candidates based within one hour either side of London time, to keep collaboration smooth and calendars sane. Our Tech Stack Cleo is built as a Ruby on Rails monolith with a single React Native app frontend, utilising TypeScript. We also leverage Python for machine learning services and PostgreSQL for our database, all hosted on AWS. Our CI/CD pipeline is fully automated, with production deployments happening on every merge via Kubernetes. Our backend engineers deploy multiple times a week, and we release our frontend app to Google and Apple for review at least once a week. While we take a pragmatic approach, we place a strong emphasis on quality. Our code is peer reviewed, and we maintain automated testing using Minitest and CircleCI. We're also actively working towards a more modular architecture, focusing on separating concerns to achieve all the benefits of microservices within a monolith, while progressively refactoring our code as we build new features. Everyone in the engineering team contributes to driving our technical strategy, voices & ideas from all levels are valued: we are all owners at Cleo. What do you get for all your hard work? A competitive compensation package (base + equity) with 3 annual reviews, aligned to our termly OKR planning cycles. You can view our public progression framework and salary bandings here: Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London in the UK or EU, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other benefits. Company wide performance reviews every 4 months Generous pay increases for high performing team members Equity top ups for team members getting promoted An additional day for every year you spend at Cleo (up to 30 days) 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in person We'll pay for your OpenAI + Claude subscription Online mental health support via Spill And many more, depending on your location! We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. App access: The Cleo app is downloadable in the UK & USA. We're not currently in the EU. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. We can share a slide deck detailing the apps capabilities in more detail though, to help you through the interview process. By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Cleo AI. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Cleo AI may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Cleo AI's Candidate Privacy Notice.
About Kleos Kleos is a global teams management platform that helps companies manage contractor and employee payroll across borders. We bring compliant contracts, IP assignment, KYC/KYB verification, multi-currency transactions, and one clean B2B invoice into a single platform. 600+ teams use Kleos to make payroll disappear. We've processed $60M+ in payouts, helping companies pay contractors around the globe faster and keeping both teams and contractors happy. About the role This is not a traditional System Analyst role. We are looking for someone who combines strong systems thinking, technical solution design, and AI assisted development practices. You will help transform business requirements into implementation ready specifications, technical designs, and AI prompts that accelerate software delivery. We believe AI is becoming a core part of software development. You will be expected to actively use AI tools to design solutions, prepare specifications, and accelerate delivery. What you'll do Translate business requirements into clear technical specifications Design technical solutions, system interactions, and implementation approaches Create implementation ready documentation for engineering teams Write structured AI prompts for engineering tasks, technical specifications, and solution design Design APIs, integrations, data models, and business processes Define edge cases, validation rules, permissions, error handling, and system behavior Work closely with Product Managers to refine requirements and challenge assumptions Collaborate with Engineers to ensure solutions are scalable, maintainable, and secure Review delivered functionality against specifications Maintain technical documentation and knowledge base What we're looking for 4+ years of experience as a System Analyst, Technical Business Analyst, Solution Architect, Software Engineer, or similar role Strong understanding of software architecture and system design Experience designing APIs, integrations, data models, and backend workflows Ability to independently design technical solutions for complex business problems Strong systems thinking and attention to detail Experience working closely with engineering teams throughout the delivery lifecycle Excellent written communication skills Ability to identify gaps, edge cases, technical risks, and implementation dependencies before development starts Hands on experience using AI assisted development tools such as Claude, ChatGPT, Cursor, Windsurf, or GitHub Copilot as part of the daily product development workflow Ability to write structured, implementation ready AI prompts for engineering tasks, technical specifications, and solution design Strong understanding of how to leverage AI to accelerate analysis, documentation, solution design, and software delivery Strong SQL skills and ability to independently analyze data Experience working with databases, logs, APIs, and technical documentation Ability to work comfortably with our tech stack: Vue 3 + TypeScript, PHP, Go, MySQL, PostgreSQL, Redis, Elasticsearch, REST APIs, Docker, Kubernetes, and observability tools Nice to have Experience in fintech, payments, compliance, payroll, HRTech, or other operationally complex products Understanding of distributed systems, microservices, and cloud native architectures SQL and data analysis skills Experience working in high growth startups or scale ups Who will thrive here You enjoy turning ambiguity into clarity. You don't just document requirements - you design solutions. You can discuss a business problem with a Product Manager in the morning and provide engineers with a complete implementation ready specification by the afternoon. You care about building systems that are simple, scalable, and easy to maintain. You see AI as a core part of modern product development, not as an optional productivity tool.
24/06/2026
Full time
About Kleos Kleos is a global teams management platform that helps companies manage contractor and employee payroll across borders. We bring compliant contracts, IP assignment, KYC/KYB verification, multi-currency transactions, and one clean B2B invoice into a single platform. 600+ teams use Kleos to make payroll disappear. We've processed $60M+ in payouts, helping companies pay contractors around the globe faster and keeping both teams and contractors happy. About the role This is not a traditional System Analyst role. We are looking for someone who combines strong systems thinking, technical solution design, and AI assisted development practices. You will help transform business requirements into implementation ready specifications, technical designs, and AI prompts that accelerate software delivery. We believe AI is becoming a core part of software development. You will be expected to actively use AI tools to design solutions, prepare specifications, and accelerate delivery. What you'll do Translate business requirements into clear technical specifications Design technical solutions, system interactions, and implementation approaches Create implementation ready documentation for engineering teams Write structured AI prompts for engineering tasks, technical specifications, and solution design Design APIs, integrations, data models, and business processes Define edge cases, validation rules, permissions, error handling, and system behavior Work closely with Product Managers to refine requirements and challenge assumptions Collaborate with Engineers to ensure solutions are scalable, maintainable, and secure Review delivered functionality against specifications Maintain technical documentation and knowledge base What we're looking for 4+ years of experience as a System Analyst, Technical Business Analyst, Solution Architect, Software Engineer, or similar role Strong understanding of software architecture and system design Experience designing APIs, integrations, data models, and backend workflows Ability to independently design technical solutions for complex business problems Strong systems thinking and attention to detail Experience working closely with engineering teams throughout the delivery lifecycle Excellent written communication skills Ability to identify gaps, edge cases, technical risks, and implementation dependencies before development starts Hands on experience using AI assisted development tools such as Claude, ChatGPT, Cursor, Windsurf, or GitHub Copilot as part of the daily product development workflow Ability to write structured, implementation ready AI prompts for engineering tasks, technical specifications, and solution design Strong understanding of how to leverage AI to accelerate analysis, documentation, solution design, and software delivery Strong SQL skills and ability to independently analyze data Experience working with databases, logs, APIs, and technical documentation Ability to work comfortably with our tech stack: Vue 3 + TypeScript, PHP, Go, MySQL, PostgreSQL, Redis, Elasticsearch, REST APIs, Docker, Kubernetes, and observability tools Nice to have Experience in fintech, payments, compliance, payroll, HRTech, or other operationally complex products Understanding of distributed systems, microservices, and cloud native architectures SQL and data analysis skills Experience working in high growth startups or scale ups Who will thrive here You enjoy turning ambiguity into clarity. You don't just document requirements - you design solutions. You can discuss a business problem with a Product Manager in the morning and provide engineers with a complete implementation ready specification by the afternoon. You care about building systems that are simple, scalable, and easy to maintain. You see AI as a core part of modern product development, not as an optional productivity tool.
Join us to shape the future of payments technology and make a real impact on your career. As part of our agile team, you'll help build trusted solutions that power global transactions. You'll have the opportunity to grow your skills, collaborate with talented colleagues, and contribute to a culture of inclusion and respect. We value creativity, technical excellence, and your unique perspective. Discover how you can push the limits of what's possible with us. As a Lead Software Engineer in Wholesale Payments, FX Payments Tech, you will play a pivotal role in designing and delivering secure, scalable technology products. You will work closely with cross functional teams to drive critical solutions that support our business objectives. You'll lead technical initiatives, foster innovation, and help shape our team's culture. Your expertise will enable us to build reliable systems that meet the evolving needs of our clients. You will be empowered to make a difference every day. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting Develop secure, high-quality production code and review and debug code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive outcomes oriented probing for applicability within existing systems and information architecture Lead communities of practice across Software Engineering to promote awareness and adoption of new technologies Add to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Bachelor's or Master's degree in computer science Hands on practical experience in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages Proficiency in automation and continuous delivery methods Skilled in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience with Java 21 Familiarity with Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
24/06/2026
Full time
Join us to shape the future of payments technology and make a real impact on your career. As part of our agile team, you'll help build trusted solutions that power global transactions. You'll have the opportunity to grow your skills, collaborate with talented colleagues, and contribute to a culture of inclusion and respect. We value creativity, technical excellence, and your unique perspective. Discover how you can push the limits of what's possible with us. As a Lead Software Engineer in Wholesale Payments, FX Payments Tech, you will play a pivotal role in designing and delivering secure, scalable technology products. You will work closely with cross functional teams to drive critical solutions that support our business objectives. You'll lead technical initiatives, foster innovation, and help shape our team's culture. Your expertise will enable us to build reliable systems that meet the evolving needs of our clients. You will be empowered to make a difference every day. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting Develop secure, high-quality production code and review and debug code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive outcomes oriented probing for applicability within existing systems and information architecture Lead communities of practice across Software Engineering to promote awareness and adoption of new technologies Add to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Bachelor's or Master's degree in computer science Hands on practical experience in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages Proficiency in automation and continuous delivery methods Skilled in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience with Java 21 Familiarity with Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.
22/06/2026
Full time
About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.
Senior Specialist Solutions Architect, Agentic Engineering / Kiro Job ID: AWS EMEA SARL (UK Branch) Are you a customer-obsessed builder with a passion for helping customers build faster, smarter, and more reliably with AI? Are you excited about the convergence of generative AI and software engineering, and how agentic AI tools are transforming the way startups ship code? Do you have the technical depth, advisory skills, and startup instincts necessary to help position AWS as the platform of choice for AI-powered development? Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect for Agentic Engineering! WWSO Intro The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small and mid market accounts to enterprise level customers including public sector. We work backwards from our customers' most complex and business critical problems to build and execute go to market plans that turn AWS ideas into multi billion dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Key job responsibilities Engage with startup customers from CXO/VP engineering to developers to drive adoption of AWS Agentic Engineering offerings including Kiro, Claude Code on Bedrock, Codex on Bedrock and AWS Frontier Agents with a goal of developing pipeline, securing lighthouse customers and growing top line revenue. Become a trusted advisor within customer accounts through technical thought leadership in AI powered software development workflows, positioning frameworks and methodologies to embed AI capabilities in every phase of the SDLC, from planning and design through testing and deployment. Design and execute go to market programs targeting the developer community, including developer meet ups, hackathons, university seeding, and ISV partnerships (Kiro Powers ecosystem) to drive organic product led adoption of our offerings. Develop and deploy programs that leverage AWS Field Solution Architect teams, Agentic coding subject matter experts, technology partners (Kiro Powers ISVs), and other partner channels to scale Agentic Engineering adoption. Collaborate with the AWS service and engineering teams to surface customer feedback, influence roadmap priorities, and co create solutions that solve real startup problems - including reference architectures, agentic workflow patterns, custom coding agents, MCP integrations, and native integration blueprints. Guide and support the AWS internal community of technical subject matter experts aligned to Agentic Engineering by creating field enablement materials, demo assets, open source samples, and workshop content for the broader SA population to help them position Kiro and Agentic Engineering capabilities within customer architectures. A day in the life We are technology specialists dedicated to helping startups scale quickly and cost effectively on AWS. The WWSO Startup team focuses on helping startups adopt AWS' technologies with a focus on Kiro and other Agentic Engineering offerings. Typical activities include: Be the best storyteller and technologist - articulating the value of AI powered development through demos, reference architectures, and real customer outcomes. Work with the most promising startups - engaging lighthouse customers building with agentic tools at scale. Scale tech knowledge via products, programs, and the AWS Field - creating enablement content, running workshops, and growing our community of subject matter experts. Gather critical startup feedback to inform product roadmaps - operating as the voice of startups to service teams building Kiro and its other offerings. Basic Qualifications Bachelor's degree or above in computer science, computer engineering, or related field. Experience in a customer facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies. 7+ years design/implementation/consulting experience with distributed applications or developer tooling. 5+ years technical experience in at least one of: AI/ML, LLMs, generative AI, or modern SDLC automation (CI/CD, DevSecOps, infrastructure as code). Startup background and experience at a VC or PE backed firm in a Technical Executive capacity. Preferred Qualifications Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering). Master's degree or above in engineering, management, or technology, or Master's degree or above in computer science, engineering, mathematics or equivalent. Familiarity with open source software used by startups and working knowledge of software development tools and methodologies common to startups. Hands on experience with AI coding assistants and agentic developer tools (e.g., Kiro, Cursor, Claude Code, GitHub Copilot, Codex, Windsurf). Experience designing or implementing CI/CD pipelines, DevSecOps workflows, or SDLC automation at scale. Familiarity with Agentic AI architectures - multi agent orchestration, tool use patterns, MCP (Model Context Protocol), and autonomous agent frameworks. Strong data based storytelling skills with a high degree of comfort speaking with startup executives and developer communities, and at industry events. Demonstrated ability to adapt to new technologies and learn quickly in fast moving competitive landscape. Proficiency with design, deployment, and evaluation of LLM powered agents and tools and orchestration approaches (e.g., Strands Agents SDK, LangGraph, CrewAI). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
20/06/2026
Full time
Senior Specialist Solutions Architect, Agentic Engineering / Kiro Job ID: AWS EMEA SARL (UK Branch) Are you a customer-obsessed builder with a passion for helping customers build faster, smarter, and more reliably with AI? Are you excited about the convergence of generative AI and software engineering, and how agentic AI tools are transforming the way startups ship code? Do you have the technical depth, advisory skills, and startup instincts necessary to help position AWS as the platform of choice for AI-powered development? Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect for Agentic Engineering! WWSO Intro The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small and mid market accounts to enterprise level customers including public sector. We work backwards from our customers' most complex and business critical problems to build and execute go to market plans that turn AWS ideas into multi billion dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Key job responsibilities Engage with startup customers from CXO/VP engineering to developers to drive adoption of AWS Agentic Engineering offerings including Kiro, Claude Code on Bedrock, Codex on Bedrock and AWS Frontier Agents with a goal of developing pipeline, securing lighthouse customers and growing top line revenue. Become a trusted advisor within customer accounts through technical thought leadership in AI powered software development workflows, positioning frameworks and methodologies to embed AI capabilities in every phase of the SDLC, from planning and design through testing and deployment. Design and execute go to market programs targeting the developer community, including developer meet ups, hackathons, university seeding, and ISV partnerships (Kiro Powers ecosystem) to drive organic product led adoption of our offerings. Develop and deploy programs that leverage AWS Field Solution Architect teams, Agentic coding subject matter experts, technology partners (Kiro Powers ISVs), and other partner channels to scale Agentic Engineering adoption. Collaborate with the AWS service and engineering teams to surface customer feedback, influence roadmap priorities, and co create solutions that solve real startup problems - including reference architectures, agentic workflow patterns, custom coding agents, MCP integrations, and native integration blueprints. Guide and support the AWS internal community of technical subject matter experts aligned to Agentic Engineering by creating field enablement materials, demo assets, open source samples, and workshop content for the broader SA population to help them position Kiro and Agentic Engineering capabilities within customer architectures. A day in the life We are technology specialists dedicated to helping startups scale quickly and cost effectively on AWS. The WWSO Startup team focuses on helping startups adopt AWS' technologies with a focus on Kiro and other Agentic Engineering offerings. Typical activities include: Be the best storyteller and technologist - articulating the value of AI powered development through demos, reference architectures, and real customer outcomes. Work with the most promising startups - engaging lighthouse customers building with agentic tools at scale. Scale tech knowledge via products, programs, and the AWS Field - creating enablement content, running workshops, and growing our community of subject matter experts. Gather critical startup feedback to inform product roadmaps - operating as the voice of startups to service teams building Kiro and its other offerings. Basic Qualifications Bachelor's degree or above in computer science, computer engineering, or related field. Experience in a customer facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies. 7+ years design/implementation/consulting experience with distributed applications or developer tooling. 5+ years technical experience in at least one of: AI/ML, LLMs, generative AI, or modern SDLC automation (CI/CD, DevSecOps, infrastructure as code). Startup background and experience at a VC or PE backed firm in a Technical Executive capacity. Preferred Qualifications Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering). Master's degree or above in engineering, management, or technology, or Master's degree or above in computer science, engineering, mathematics or equivalent. Familiarity with open source software used by startups and working knowledge of software development tools and methodologies common to startups. Hands on experience with AI coding assistants and agentic developer tools (e.g., Kiro, Cursor, Claude Code, GitHub Copilot, Codex, Windsurf). Experience designing or implementing CI/CD pipelines, DevSecOps workflows, or SDLC automation at scale. Familiarity with Agentic AI architectures - multi agent orchestration, tool use patterns, MCP (Model Context Protocol), and autonomous agent frameworks. Strong data based storytelling skills with a high degree of comfort speaking with startup executives and developer communities, and at industry events. Demonstrated ability to adapt to new technologies and learn quickly in fast moving competitive landscape. Proficiency with design, deployment, and evaluation of LLM powered agents and tools and orchestration approaches (e.g., Strands Agents SDK, LangGraph, CrewAI). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
We're looking for an enthusiastic & talented server side engineer, to join one our high-impact teams inside Citi's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, developer platforms and internal tools used across the bank, where we experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. At Citi's scale saving tens of minutes per day, equates to £10,000,000s of savings We believe happy engineers make the best engineers and are a technology managed department. Opportunities in CTO: There are many exciting opportunities for you, and flexibility to move between multiple projects if that's something you'd enjoy. Two closely related key strategic projects will require your expertise driving solutions are as follows: SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at Citi, taking ideas like grading engineering teams and rewarding those who follow best practices, perhaps moving them from manual approval process to an automatic one. The use of Artificial Intelligence is planned to further automate and remove manual human led processes that add toil to the SDLC process. Release on Demand (RoD) is our strategic release management platform that makes it trivial to generate production run books & ServiceNow Changes with the click of a button. Built internally approximately three years ago the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approx. 65% of them. RoD enables cultural change within development teams enabling them to move quickly but whilst maintaining quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld, whilst driving industry best practices (DORA). Why you'll love working here: You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do: Write code and deliver.You are a delivery focussed engineer for our back end services. That means contributing high-quality code regularly, not just reviewing other people's. You set the bar through your own work. Shape how we build.You'll have a real voice in our architecture and technical roadmap. Your opinion matters. Stay ahead of GenAI.This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns, that's exactly the kind of thinking we want in the room. Be a team player.Thoughtful code reviews. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Communicate like it matters.We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it. What you should have: A selection of the tools and capabilities required across our platforms. We value muti-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven experience delivering within technical projects Deep, hands on experience building and running production grade services. You're still writing code regularly. You're good at it Strong server side engineering skills: Kotlin or Java (we're using Java 21), building and consuming RESTful APIs. Proficiency with relational and/or NoSQL databases: Couchbase, PostgreSQL or MongoDB. Highly Desirable skills Experience with event driven architecture. Experience with microservice architecture Contract first Apis, such as swagger. Experience with message queuing systems: Apache Kafka. SRE/DevOps - Experience with scalability & Observability Understanding of containerization (Docker) and orchestration (Kubernetes). Familiarity with CI/CD tools and automated deployments. Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust backend solutions. AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server: Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness Mac or PC - It's up to you. Access to time-saving AI tools such as GitHub Copilot, Cognition.ai's Devinand Claude Code What we'll provide you By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review. View Citi's EEO Policy Statement and the Know Your Rights poster.
19/06/2026
Full time
We're looking for an enthusiastic & talented server side engineer, to join one our high-impact teams inside Citi's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, developer platforms and internal tools used across the bank, where we experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. At Citi's scale saving tens of minutes per day, equates to £10,000,000s of savings We believe happy engineers make the best engineers and are a technology managed department. Opportunities in CTO: There are many exciting opportunities for you, and flexibility to move between multiple projects if that's something you'd enjoy. Two closely related key strategic projects will require your expertise driving solutions are as follows: SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at Citi, taking ideas like grading engineering teams and rewarding those who follow best practices, perhaps moving them from manual approval process to an automatic one. The use of Artificial Intelligence is planned to further automate and remove manual human led processes that add toil to the SDLC process. Release on Demand (RoD) is our strategic release management platform that makes it trivial to generate production run books & ServiceNow Changes with the click of a button. Built internally approximately three years ago the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approx. 65% of them. RoD enables cultural change within development teams enabling them to move quickly but whilst maintaining quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld, whilst driving industry best practices (DORA). Why you'll love working here: You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do: Write code and deliver.You are a delivery focussed engineer for our back end services. That means contributing high-quality code regularly, not just reviewing other people's. You set the bar through your own work. Shape how we build.You'll have a real voice in our architecture and technical roadmap. Your opinion matters. Stay ahead of GenAI.This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns, that's exactly the kind of thinking we want in the room. Be a team player.Thoughtful code reviews. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Communicate like it matters.We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it. What you should have: A selection of the tools and capabilities required across our platforms. We value muti-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven experience delivering within technical projects Deep, hands on experience building and running production grade services. You're still writing code regularly. You're good at it Strong server side engineering skills: Kotlin or Java (we're using Java 21), building and consuming RESTful APIs. Proficiency with relational and/or NoSQL databases: Couchbase, PostgreSQL or MongoDB. Highly Desirable skills Experience with event driven architecture. Experience with microservice architecture Contract first Apis, such as swagger. Experience with message queuing systems: Apache Kafka. SRE/DevOps - Experience with scalability & Observability Understanding of containerization (Docker) and orchestration (Kubernetes). Familiarity with CI/CD tools and automated deployments. Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust backend solutions. AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server: Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness Mac or PC - It's up to you. Access to time-saving AI tools such as GitHub Copilot, Cognition.ai's Devinand Claude Code What we'll provide you By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review. View Citi's EEO Policy Statement and the Know Your Rights poster.
About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.
17/06/2026
Full time
About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.
About Lawhive Our mission is to make the law accessible to everyone. The legal industry is built on technology and processes that haven't been updated in hundreds of years - that's why we've reinvented the entire model from the ground up with our own bespoke AI operating system at the core. Lawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers. Lawhive Labs is how we bring this vision to life. It's our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law. We're backed by top tier investors, including Google Ventures, Balderton Capital and TQ Ventures, and in December 2025, we secured $60M Series B funding round to facilitate international expansion and to grow our team. We're headquartered in London and in 2025 successfully launched in the US and we're just getting started. Data at Lawhive We are building the world's first AI-native consumer law firm, and the data foundations underneath it have to match that ambition. Over the next 12 months, the data function will: Build out our data stack to enable ingestion, analysis and processing of a growing corpus of data, both to support BI and AI use-cases Drive data as a product with AI-native consumption so that anyone in the group can explore, dig into, and act on data without filing a ticket Build the integration playbook for law firms as we expand our firm portfolio. We need a canonical Lawhive data model that scales to all law firms and types of legal work Our current stack: BigQuery, dbt, Hex, Dagster, K8s, Elementary, Claude Code, GCP and AWS infrastructure. We'll look for strong opinions on best practices and technologies as we scale. Senior Data Engineer As Senior Data Engineer, you'll be working on the infrastructure backbone of Lawhive's data platform. You'll own the pipelines, orchestration, and data integration work that powers everything from self-serve analytics to AI product features. Reporting to the Head of Data, you'll work closely with our Analytics Engineer, Data Analysts, and Engineering teams to build a platform that scales with the business. This role is for someone who is hands on, opinionated about infrastructure, and energised by complexity, whether that's integrating a newly acquired firm's messy data or rearchitecting a pipeline to handle 10x the data. What You'll Do Data Infrastructure & Pipelines Design, build, and maintain scalable, reliable data pipelines across GCP and AWS infrastructure, with BigQuery as our warehouse Own and evolve our Dagster orchestration layer, ensuring pipelines are observable, testable, and operationally robust Architect and implement ingestion patterns for diverse source systems, from SaaS APIs to acquired firm data with unstructured schemas Define and enforce data quality standards at the ingestion layer: completeness, freshness, lineage, security, privacy and schema contracts Acquisition Data Integration Build the technical playbook for onboarding acquired firms' data into Lawhive's canonical data model Design repeatable ELT patterns that handle conflicting schemas, messy legacy systems, and varying data quality, making firm onboarding a weeks-not-months process Partner with Analytics Engineering on the canonical Lawhive data model, ensuring upstream pipelines deliver clean, well structured data Enabling access controls and privacy preserving access to firm tenanted data AI Native Engineering Apply LLMs and AI tooling (Claude Code, Cursor) to data engineering tasks: entity resolution, schema mapping, automated data quality checks, and pipeline generation Partner with our AI/ML teams to build reliable data pipelines that feed model training and inference workflows Set a high bar for how data engineering gets done in an AI native organisation Platform Scalability & Performance Building scalable storage and processing solutions for our various data and AI projects and products Proactively monitor and optimise BigQuery usage for query performance and cost efficiency as data volumes grow Evaluate and recommend tooling changes to keep the stack modern, efficient, and fit for AI native workflows Cross functional Partnership Work closely with the Analytics Engineer and Data Analysts to ensure the platform supports self serve analytics and the dbt semantic layer Partner with Product and Engineering to instrument new product features and surface clean event data Contribute to documentation and runbooks that make the platform accessible and understandable across the team What You'll Bring You'll be a great fit for this role if: You have 5+ years of data engineering experience, including hands on ownership of production pipelines at a SaaS or tech scaleup You have deep expertise in cloud data warehouses, ideally BigQuery, including performance tuning, partitioning, clustering, and cost management You're comfortable with Python for pipeline development and have experience with orchestration tools (Dagster, Airflow, or similar) You've built data integration patterns for complex or heterogeneous source systems. Bonus if in an M&A or multi entity context You have strong opinions on data modelling, pipeline design, and the modern data stack; you can defend trade offs and push back on bad patterns You're AI native in how you work. You use Cursor, Claude Code, or equivalent tools daily and think LLMs structurally change how data engineering gets done You collaborate effectively with Analytics Engineers and Analysts, understanding where the pipeline ends and modelling begins You're commercially literate enough to translate business context into infrastructure decisions Nice to haves: Experience with dbt Familiarity with K8s for data workloads Background at a PE backed software rollup or M&A heavy company Exposure to legal services, legal tech, or regulated marketplaces Benefits Meaningful early stage equity at one of Europe's fastest growing startups 33 days' annual leave (25 + bank holidays) plus your birthday off Pension contribution via Nest 20% off legal fees through Lawhive Top spec Macbook Regular team building activities and socials Diversity at Lawhive At Lawhive we know that diversity of thought is critical to delivering outlier outcomes. As such, we're always working hard to ensure we build a diverse, inclusive team. We're not yet where we want to be but as we scale we'll only ever increase the focus we apply to this.
14/06/2026
Full time
About Lawhive Our mission is to make the law accessible to everyone. The legal industry is built on technology and processes that haven't been updated in hundreds of years - that's why we've reinvented the entire model from the ground up with our own bespoke AI operating system at the core. Lawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers. Lawhive Labs is how we bring this vision to life. It's our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law. We're backed by top tier investors, including Google Ventures, Balderton Capital and TQ Ventures, and in December 2025, we secured $60M Series B funding round to facilitate international expansion and to grow our team. We're headquartered in London and in 2025 successfully launched in the US and we're just getting started. Data at Lawhive We are building the world's first AI-native consumer law firm, and the data foundations underneath it have to match that ambition. Over the next 12 months, the data function will: Build out our data stack to enable ingestion, analysis and processing of a growing corpus of data, both to support BI and AI use-cases Drive data as a product with AI-native consumption so that anyone in the group can explore, dig into, and act on data without filing a ticket Build the integration playbook for law firms as we expand our firm portfolio. We need a canonical Lawhive data model that scales to all law firms and types of legal work Our current stack: BigQuery, dbt, Hex, Dagster, K8s, Elementary, Claude Code, GCP and AWS infrastructure. We'll look for strong opinions on best practices and technologies as we scale. Senior Data Engineer As Senior Data Engineer, you'll be working on the infrastructure backbone of Lawhive's data platform. You'll own the pipelines, orchestration, and data integration work that powers everything from self-serve analytics to AI product features. Reporting to the Head of Data, you'll work closely with our Analytics Engineer, Data Analysts, and Engineering teams to build a platform that scales with the business. This role is for someone who is hands on, opinionated about infrastructure, and energised by complexity, whether that's integrating a newly acquired firm's messy data or rearchitecting a pipeline to handle 10x the data. What You'll Do Data Infrastructure & Pipelines Design, build, and maintain scalable, reliable data pipelines across GCP and AWS infrastructure, with BigQuery as our warehouse Own and evolve our Dagster orchestration layer, ensuring pipelines are observable, testable, and operationally robust Architect and implement ingestion patterns for diverse source systems, from SaaS APIs to acquired firm data with unstructured schemas Define and enforce data quality standards at the ingestion layer: completeness, freshness, lineage, security, privacy and schema contracts Acquisition Data Integration Build the technical playbook for onboarding acquired firms' data into Lawhive's canonical data model Design repeatable ELT patterns that handle conflicting schemas, messy legacy systems, and varying data quality, making firm onboarding a weeks-not-months process Partner with Analytics Engineering on the canonical Lawhive data model, ensuring upstream pipelines deliver clean, well structured data Enabling access controls and privacy preserving access to firm tenanted data AI Native Engineering Apply LLMs and AI tooling (Claude Code, Cursor) to data engineering tasks: entity resolution, schema mapping, automated data quality checks, and pipeline generation Partner with our AI/ML teams to build reliable data pipelines that feed model training and inference workflows Set a high bar for how data engineering gets done in an AI native organisation Platform Scalability & Performance Building scalable storage and processing solutions for our various data and AI projects and products Proactively monitor and optimise BigQuery usage for query performance and cost efficiency as data volumes grow Evaluate and recommend tooling changes to keep the stack modern, efficient, and fit for AI native workflows Cross functional Partnership Work closely with the Analytics Engineer and Data Analysts to ensure the platform supports self serve analytics and the dbt semantic layer Partner with Product and Engineering to instrument new product features and surface clean event data Contribute to documentation and runbooks that make the platform accessible and understandable across the team What You'll Bring You'll be a great fit for this role if: You have 5+ years of data engineering experience, including hands on ownership of production pipelines at a SaaS or tech scaleup You have deep expertise in cloud data warehouses, ideally BigQuery, including performance tuning, partitioning, clustering, and cost management You're comfortable with Python for pipeline development and have experience with orchestration tools (Dagster, Airflow, or similar) You've built data integration patterns for complex or heterogeneous source systems. Bonus if in an M&A or multi entity context You have strong opinions on data modelling, pipeline design, and the modern data stack; you can defend trade offs and push back on bad patterns You're AI native in how you work. You use Cursor, Claude Code, or equivalent tools daily and think LLMs structurally change how data engineering gets done You collaborate effectively with Analytics Engineers and Analysts, understanding where the pipeline ends and modelling begins You're commercially literate enough to translate business context into infrastructure decisions Nice to haves: Experience with dbt Familiarity with K8s for data workloads Background at a PE backed software rollup or M&A heavy company Exposure to legal services, legal tech, or regulated marketplaces Benefits Meaningful early stage equity at one of Europe's fastest growing startups 33 days' annual leave (25 + bank holidays) plus your birthday off Pension contribution via Nest 20% off legal fees through Lawhive Top spec Macbook Regular team building activities and socials Diversity at Lawhive At Lawhive we know that diversity of thought is critical to delivering outlier outcomes. As such, we're always working hard to ensure we build a diverse, inclusive team. We're not yet where we want to be but as we scale we'll only ever increase the focus we apply to this.
About Us Fifth Dimension is the most prominent AI company in real estate in the world, bringing vibe working to document-heavy industries . We work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions. We're a London, New York and Singapore based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise (and spice ️): Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups. At Fifth Dimension, we're demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don't Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement. The Challenge It's 9 AM on a Monday. You've already got a couple of AI-generated PRs from the weekend open for review - experiments you kicked off with Claude Code on Friday that ran overnight. By 10:30, the reviews are in and you're iterating. By lunch, one feature is in staging with tests. After a quick review with a staff engineer who raises an edge case you hadn't considered, you ship v2 by 3 PM. By the end of day, real customers are using it-and you're already looking at the eval results to figure out what v3 needs. On Tuesday, you sit with one of our Solutions Engineers and a Customer Success Manager to understand why a major asset manager's lease analysis is hitting a wall. By Wednesday, you're pairing with a principal engineer to redesign the approach - they bring deep knowledge of how commercial real estate documents actually work, you bring the speed to prototype three different solutions in Claude Code before lunch. You run evals against your test suite, pick the winner, and ship it. On Thursday, you're with the PM refining the intelligence platform's UI based on what the usage data told you. On Friday, you demo everything you shipped that week. It's more than most teams ship in a sprint. That's a normal week here. And next month, you might be doing it from our New York office, or from Singapore. About You You're an AI-first engineer. While others debate whether AI tools are ready, you've been shipping with them for months, maybe years. Claude Code and Codex aren't novelties to you; they're how you work. You're outcome-obsessed and customer-obsessed: you don't just build features, you solve problems for real people and measure whether it actually worked. You've already figured out that the combination of strong fundamentals, AI-augmented development, and relentless focus on customer outcomes lets you move at a pace that surprises people. You might be early in your career by the calendar, but not in output. You've built and shipped things, side projects, open-source contributions, startup experiments, freelance work, that demonstrate you can go from idea to production. You care about quality, but you know that shipping fast and measuring is how you learn what quality actually means for users. You're not intimidated by working alongside staff and principal-level engineers. You know you have things to learn from them-deep architectural thinking, domain expertise, battle scars from systems at scale. But you also know you have something to teach: how to wield AI tools to ship 10x faster without cutting corners. That exchange excites you. You experiment compulsively. You measure obsessively. You learn fast and apply what you've learned immediately. You'd rather ship something imperfect and iterate than perfect something nobody's using. Your Impact Reporting to our CTO Chen, you'll be our first early career AI engineering hire-and that means you'll help define what AI-first engineering looks like at 5D. You'll work alongside staff and principal-level engineers who'll stretch your architectural and domain thinking, while you push the team's velocity and AI tooling practices forward. You'll own real features end-to-end, shipping to enterprise customers. Day to Day, You Will Ship features to production multiple times a day, using Claude Code, Codex and AI-augmented workflows as your primary development approach Own features end-to-end: from understanding the customer problem, through implementation, to deployment and measuring impact Build and evolve our AI intelligence platform-from agentic workflows and evaluation infrastructure to the UI/UX that puts AI capabilities in customers' hands Experiment rapidly-prototype approaches, measure results against our evaluation framework, learn from the data, and iterate Pair with staff and principal engineers who bring deep domain and architectural expertise, while showing them new ways to leverage AI tooling for speed and quality Collaborate closely with Product Managers, Customer Success Managers, and Solutions Engineers to stay rooted in what customers actually need Contribute to our engineering culture by sharing what you learn about AI-first development workflows, prompting techniques, and tooling Write code that's clear, tested, and maintainable-speed without quality isn't speed, it's debt Our Values and Engineering Culture At 5D, we embody three core principles: Own it, Ship it, and Don't be boring. Our engineering team values: Product-Minded Engineering: Understanding the "why" behind features and using technical expertise to inform product decisions Intellectual Honesty: Backing discussions with data and acknowledging knowledge gaps Effective Time Management: Setting clear timeboxes and abandoning approaches that aren't working Clear Communication: Writing self-documenting code and providing detailed explanations Innovation Mindset: Forming well-reasoned opinions backed by data and continuously learning Personal Growth: Supporting your development through challenging work and opportunities to expand your expertise Having Fun: We're building something extraordinary across three of the world's most exciting cities. We take the work seriously, not ourselves What We're Looking For We don't care about years of experience or specific degrees. We care about what you've built, how fast you learn, and how you think. Show us your work. Demonstrable experience shipping software-personal projects, open source, freelance, startup, or professional. The context matters less than the output. Fluency with AI coding tools (Claude Code, Codex) as part of your daily workflow, not as an occasional novelty Strong programming fundamentals, particularly in Python and TypeScript-but we welcome experience in other languages and architectural paradigms too. You should be able to read, reason about, and debug code that AI helped you write. A portfolio or body of work that shows velocity and quality: things you've built, shipped, and ideally that people have used Comfort with rapid experimentation: you prototype fast, measure outcomes, and aren't precious about throwing things away Intellectual curiosity and honesty-you dig into problems, share what you find (including failures), and ask for help when you need it Clear communication: you can explain what you built, why, and what you'd do differently Ambition and resilience-we're tackling hard problems at the intersection of AI and real estate, and you want to grow with us Nice to Have (But Not Required) Experience contributing to open-source projects Familiarity with cloud platforms (GCP preferred) or infrastructure tooling Past exposure to real estate, law, or finance domains Experience building or fine-tuning with LLM APIs (Anthropic, OpenAI, etc.) A blog, Twitter/X presence, or community contributions that show how you think about AI-first development Why This Role Is Different Most early career roles put you in a box: fix bugs, write tests, shadow seniors for six months before touching anything real. This isn't that. You'll own real features from day one, shipping to enterprise customers across the US, EU, and APAC. The guardrails are the staff and principal engineers around you and a culture that values measurement over ego-not a months-long onboarding gauntlet. You'll be surrounded by staff and principal-level engineers who've built systems at scale, know the commercial real estate domain deeply, and will challenge your thinking in ways that make you better. In return, you'll challenge how fast they think things can be built. That two-way exchange is exactly what we're optimising for. There's also the opportunity to travel between our London, New York, and Singapore offices-three epicentres of global real estate. It's not for everyone, but if you're excited by the idea of working across cultures and cities, it's a genuinely unique part of what we offer. What We Offer You Up to £120,000 (London/Singapore) / $200,000 (New York) + meaningful equity on a standard vesting schedule. Our benefits are localised to your city-designed so you don't have to worry about living your life in a big, expensive, exciting place. From tailored support for life's challenges to enhanced parental leave, a well-being budget, and an annual training budget-we want you focused on doing the best work of your career, not stressing about the rest. The Process . click apply for full job details
14/06/2026
Full time
About Us Fifth Dimension is the most prominent AI company in real estate in the world, bringing vibe working to document-heavy industries . We work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions. We're a London, New York and Singapore based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise (and spice ️): Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups. At Fifth Dimension, we're demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don't Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement. The Challenge It's 9 AM on a Monday. You've already got a couple of AI-generated PRs from the weekend open for review - experiments you kicked off with Claude Code on Friday that ran overnight. By 10:30, the reviews are in and you're iterating. By lunch, one feature is in staging with tests. After a quick review with a staff engineer who raises an edge case you hadn't considered, you ship v2 by 3 PM. By the end of day, real customers are using it-and you're already looking at the eval results to figure out what v3 needs. On Tuesday, you sit with one of our Solutions Engineers and a Customer Success Manager to understand why a major asset manager's lease analysis is hitting a wall. By Wednesday, you're pairing with a principal engineer to redesign the approach - they bring deep knowledge of how commercial real estate documents actually work, you bring the speed to prototype three different solutions in Claude Code before lunch. You run evals against your test suite, pick the winner, and ship it. On Thursday, you're with the PM refining the intelligence platform's UI based on what the usage data told you. On Friday, you demo everything you shipped that week. It's more than most teams ship in a sprint. That's a normal week here. And next month, you might be doing it from our New York office, or from Singapore. About You You're an AI-first engineer. While others debate whether AI tools are ready, you've been shipping with them for months, maybe years. Claude Code and Codex aren't novelties to you; they're how you work. You're outcome-obsessed and customer-obsessed: you don't just build features, you solve problems for real people and measure whether it actually worked. You've already figured out that the combination of strong fundamentals, AI-augmented development, and relentless focus on customer outcomes lets you move at a pace that surprises people. You might be early in your career by the calendar, but not in output. You've built and shipped things, side projects, open-source contributions, startup experiments, freelance work, that demonstrate you can go from idea to production. You care about quality, but you know that shipping fast and measuring is how you learn what quality actually means for users. You're not intimidated by working alongside staff and principal-level engineers. You know you have things to learn from them-deep architectural thinking, domain expertise, battle scars from systems at scale. But you also know you have something to teach: how to wield AI tools to ship 10x faster without cutting corners. That exchange excites you. You experiment compulsively. You measure obsessively. You learn fast and apply what you've learned immediately. You'd rather ship something imperfect and iterate than perfect something nobody's using. Your Impact Reporting to our CTO Chen, you'll be our first early career AI engineering hire-and that means you'll help define what AI-first engineering looks like at 5D. You'll work alongside staff and principal-level engineers who'll stretch your architectural and domain thinking, while you push the team's velocity and AI tooling practices forward. You'll own real features end-to-end, shipping to enterprise customers. Day to Day, You Will Ship features to production multiple times a day, using Claude Code, Codex and AI-augmented workflows as your primary development approach Own features end-to-end: from understanding the customer problem, through implementation, to deployment and measuring impact Build and evolve our AI intelligence platform-from agentic workflows and evaluation infrastructure to the UI/UX that puts AI capabilities in customers' hands Experiment rapidly-prototype approaches, measure results against our evaluation framework, learn from the data, and iterate Pair with staff and principal engineers who bring deep domain and architectural expertise, while showing them new ways to leverage AI tooling for speed and quality Collaborate closely with Product Managers, Customer Success Managers, and Solutions Engineers to stay rooted in what customers actually need Contribute to our engineering culture by sharing what you learn about AI-first development workflows, prompting techniques, and tooling Write code that's clear, tested, and maintainable-speed without quality isn't speed, it's debt Our Values and Engineering Culture At 5D, we embody three core principles: Own it, Ship it, and Don't be boring. Our engineering team values: Product-Minded Engineering: Understanding the "why" behind features and using technical expertise to inform product decisions Intellectual Honesty: Backing discussions with data and acknowledging knowledge gaps Effective Time Management: Setting clear timeboxes and abandoning approaches that aren't working Clear Communication: Writing self-documenting code and providing detailed explanations Innovation Mindset: Forming well-reasoned opinions backed by data and continuously learning Personal Growth: Supporting your development through challenging work and opportunities to expand your expertise Having Fun: We're building something extraordinary across three of the world's most exciting cities. We take the work seriously, not ourselves What We're Looking For We don't care about years of experience or specific degrees. We care about what you've built, how fast you learn, and how you think. Show us your work. Demonstrable experience shipping software-personal projects, open source, freelance, startup, or professional. The context matters less than the output. Fluency with AI coding tools (Claude Code, Codex) as part of your daily workflow, not as an occasional novelty Strong programming fundamentals, particularly in Python and TypeScript-but we welcome experience in other languages and architectural paradigms too. You should be able to read, reason about, and debug code that AI helped you write. A portfolio or body of work that shows velocity and quality: things you've built, shipped, and ideally that people have used Comfort with rapid experimentation: you prototype fast, measure outcomes, and aren't precious about throwing things away Intellectual curiosity and honesty-you dig into problems, share what you find (including failures), and ask for help when you need it Clear communication: you can explain what you built, why, and what you'd do differently Ambition and resilience-we're tackling hard problems at the intersection of AI and real estate, and you want to grow with us Nice to Have (But Not Required) Experience contributing to open-source projects Familiarity with cloud platforms (GCP preferred) or infrastructure tooling Past exposure to real estate, law, or finance domains Experience building or fine-tuning with LLM APIs (Anthropic, OpenAI, etc.) A blog, Twitter/X presence, or community contributions that show how you think about AI-first development Why This Role Is Different Most early career roles put you in a box: fix bugs, write tests, shadow seniors for six months before touching anything real. This isn't that. You'll own real features from day one, shipping to enterprise customers across the US, EU, and APAC. The guardrails are the staff and principal engineers around you and a culture that values measurement over ego-not a months-long onboarding gauntlet. You'll be surrounded by staff and principal-level engineers who've built systems at scale, know the commercial real estate domain deeply, and will challenge your thinking in ways that make you better. In return, you'll challenge how fast they think things can be built. That two-way exchange is exactly what we're optimising for. There's also the opportunity to travel between our London, New York, and Singapore offices-three epicentres of global real estate. It's not for everyone, but if you're excited by the idea of working across cultures and cities, it's a genuinely unique part of what we offer. What We Offer You Up to £120,000 (London/Singapore) / $200,000 (New York) + meaningful equity on a standard vesting schedule. Our benefits are localised to your city-designed so you don't have to worry about living your life in a big, expensive, exciting place. From tailored support for life's challenges to enhanced parental leave, a well-being budget, and an annual training budget-we want you focused on doing the best work of your career, not stressing about the rest. The Process . click apply for full job details
About HelmGuard We're building agent-native risk infrastructure: risk management and trust building, delivered by AI agents, for a world increasingly run by them. As more decisions and transactions run through agents, the volume of risk to manage and trust to establish is growing very fast. Today both functions are fragmented, split across internal teams, point products, and outside consultants, and rebuilt from scratch whenever someone needs an answer. HelmGuard brings them onto one platform and runs them continuously: our agents sit on top of proprietary data and reassess as conditions change, rather than at fixed checkpoints. So our customers spend their time deciding and acting on what matters, not assembling the evidence to get there. Hundreds of billions of dollars are spent across risk management and trust building annually. These funds are going to be reallocated to agent-native solutions in the next five years, and we will capture that spend. We've grown to seven-figure revenue within months of product launch, on the back of multi-year contracts with leading enterprises in financial services, regulated technology, and healthcare. Our founders come from Palantir and academic institutions: Oxford, Stanford, and ETH. We're backed by leading UK and US institutional investors and exceptions angels from Meta, Isomorphic Labs, Palantir, SpaceXAI, and more. We're hiring across founding-team roles for people who want outsize impact, the influence over direction and culture that comes only from joining this early, and pre-Series A equity upside. Your Impact In this role, you'll be the critical node for our platform's adoption. Once a customer signs, it's on you to make them successful. You'll expand the relationship, and turn each account into a reference customer that defines how we sell to everyone who comes after. The customers you make successful in year one become the basis of everything we build in year three. The Role As a Forward Deployed Engineer (FDE), you own our enterprise accounts end-to-end and get your hands dirty with related development. You're the first person our customers call and their trusted counterpart. You sit across the table from CSOs, VPs of Risk, heads of compliance, and you turn their messiest workflows into something that runs on our platform. Our platform is user-friendly, but we find great value in staying close to customers and understanding their needs. Expect roughly one to two customer meetings per week per account, plus the async work around it, driving adoption, configuring the platform, chasing requirements, helping decide what features to implement and implementing them, keeping things moving. You'll own a dozen plus accounts at any given time. This is the closest thing we have to a founding-team role outside the founders. You'll be partnering directly with our CTO to help shape what the company becomes. What You Will Do Own strategic accounts: adoption, expansion, renewal, the whole thing Run weekly working sessions with senior stakeholders; drive the agenda, close the loop Configure the platform to fit each customer's reality Manage the async cadence: emails, follow-ups, status updates, internal escalations Translate customer needs into prioritized product feedback that actually changes the roadmap Hold your own in procurement, security review, and contract conversations Ship code with Claude Code. When a customer needs a UI fix, a small feature, or a bug squashed, you do it. You don't need to be an engineer today, but you need to want to ship by month three. We'll teach you. You Probably Have 2-5 years of experience doing something hard and impressive Real commercial instinct: you've sold, negotiated, or owned customer outcomes in a way you can point to Comfort being the single point of accountability when something is on fire Bonus Solutions architect, deployment strategist, customer engineer, or similar background at a technical enterprise company Experience at a Series A/B enterprise startup (GRC, cyber or legal tech in particular) Background in risk, compliance, or financial services Experience in software development Culture and Values We value a diversity of perspectives and experiences. We also hold a small set of core beliefs that reflect how we operate, and share them transparently with candidates so the fit is clear from the outset. Put Customers First. Our customers buy outcomes from us, not features. We judge every decision by whether it delivers on that promise. Take Ownership. Founding-stage means problems don't come pre-scoped. You see something that needs doing, scope it, ship it, own the outcome. We expect this from everyone, and provide you the backing to execute on it. Work Hard, With Gratitude. This is the most consequential window for building enterprise software in a generation. We work hard because the opportunity is rare, and we do it with gratitude for the moment, for the people we get to build it with, and for the customers willing to bet on us this early. Say the Silly Thing. The best ideas usually start out sounding half-baked, so we'd rather you say the silly thing than sit on it. We want you opinionated and willing to argue, and just as willing to change your mind when someone makes a better case. Disagreement here is a contribution, not a risk. Working at HelmGuard Location. King's Cross, London (Gridiron building). We're built around in-person collaboration and expect most days to be in-office, with flexibility for the days that need it. Compensation. Top decile for the London market, with meaningful EMI-eligible options. Perks. Daily team lunch and specialty coffee, a roof terrace overlooking King's Cross, on-site showers for those who enjoy active commuting, and serious per-engineer AI tooling and API budgets. Tech Stack. TypeScript, Node.js, React, Tailwind, OpenAPI, Express, Azure (Container Apps, Service Bus, Front Door, Entra ID), Postgres, Terraform, GitHub Actions, Docker. Anthropic-first AI with in-house evals and scaffolding. Claude Code throughout.
12/06/2026
Full time
About HelmGuard We're building agent-native risk infrastructure: risk management and trust building, delivered by AI agents, for a world increasingly run by them. As more decisions and transactions run through agents, the volume of risk to manage and trust to establish is growing very fast. Today both functions are fragmented, split across internal teams, point products, and outside consultants, and rebuilt from scratch whenever someone needs an answer. HelmGuard brings them onto one platform and runs them continuously: our agents sit on top of proprietary data and reassess as conditions change, rather than at fixed checkpoints. So our customers spend their time deciding and acting on what matters, not assembling the evidence to get there. Hundreds of billions of dollars are spent across risk management and trust building annually. These funds are going to be reallocated to agent-native solutions in the next five years, and we will capture that spend. We've grown to seven-figure revenue within months of product launch, on the back of multi-year contracts with leading enterprises in financial services, regulated technology, and healthcare. Our founders come from Palantir and academic institutions: Oxford, Stanford, and ETH. We're backed by leading UK and US institutional investors and exceptions angels from Meta, Isomorphic Labs, Palantir, SpaceXAI, and more. We're hiring across founding-team roles for people who want outsize impact, the influence over direction and culture that comes only from joining this early, and pre-Series A equity upside. Your Impact In this role, you'll be the critical node for our platform's adoption. Once a customer signs, it's on you to make them successful. You'll expand the relationship, and turn each account into a reference customer that defines how we sell to everyone who comes after. The customers you make successful in year one become the basis of everything we build in year three. The Role As a Forward Deployed Engineer (FDE), you own our enterprise accounts end-to-end and get your hands dirty with related development. You're the first person our customers call and their trusted counterpart. You sit across the table from CSOs, VPs of Risk, heads of compliance, and you turn their messiest workflows into something that runs on our platform. Our platform is user-friendly, but we find great value in staying close to customers and understanding their needs. Expect roughly one to two customer meetings per week per account, plus the async work around it, driving adoption, configuring the platform, chasing requirements, helping decide what features to implement and implementing them, keeping things moving. You'll own a dozen plus accounts at any given time. This is the closest thing we have to a founding-team role outside the founders. You'll be partnering directly with our CTO to help shape what the company becomes. What You Will Do Own strategic accounts: adoption, expansion, renewal, the whole thing Run weekly working sessions with senior stakeholders; drive the agenda, close the loop Configure the platform to fit each customer's reality Manage the async cadence: emails, follow-ups, status updates, internal escalations Translate customer needs into prioritized product feedback that actually changes the roadmap Hold your own in procurement, security review, and contract conversations Ship code with Claude Code. When a customer needs a UI fix, a small feature, or a bug squashed, you do it. You don't need to be an engineer today, but you need to want to ship by month three. We'll teach you. You Probably Have 2-5 years of experience doing something hard and impressive Real commercial instinct: you've sold, negotiated, or owned customer outcomes in a way you can point to Comfort being the single point of accountability when something is on fire Bonus Solutions architect, deployment strategist, customer engineer, or similar background at a technical enterprise company Experience at a Series A/B enterprise startup (GRC, cyber or legal tech in particular) Background in risk, compliance, or financial services Experience in software development Culture and Values We value a diversity of perspectives and experiences. We also hold a small set of core beliefs that reflect how we operate, and share them transparently with candidates so the fit is clear from the outset. Put Customers First. Our customers buy outcomes from us, not features. We judge every decision by whether it delivers on that promise. Take Ownership. Founding-stage means problems don't come pre-scoped. You see something that needs doing, scope it, ship it, own the outcome. We expect this from everyone, and provide you the backing to execute on it. Work Hard, With Gratitude. This is the most consequential window for building enterprise software in a generation. We work hard because the opportunity is rare, and we do it with gratitude for the moment, for the people we get to build it with, and for the customers willing to bet on us this early. Say the Silly Thing. The best ideas usually start out sounding half-baked, so we'd rather you say the silly thing than sit on it. We want you opinionated and willing to argue, and just as willing to change your mind when someone makes a better case. Disagreement here is a contribution, not a risk. Working at HelmGuard Location. King's Cross, London (Gridiron building). We're built around in-person collaboration and expect most days to be in-office, with flexibility for the days that need it. Compensation. Top decile for the London market, with meaningful EMI-eligible options. Perks. Daily team lunch and specialty coffee, a roof terrace overlooking King's Cross, on-site showers for those who enjoy active commuting, and serious per-engineer AI tooling and API budgets. Tech Stack. TypeScript, Node.js, React, Tailwind, OpenAPI, Express, Azure (Container Apps, Service Bus, Front Door, Entra ID), Postgres, Terraform, GitHub Actions, Docker. Anthropic-first AI with in-house evals and scaffolding. Claude Code throughout.
Senior AI Agent Manager Pearson Carter are currently working with an exciting UK-based startup that is transforming how brands sell, market, and grow online. Their platform provides businesses with a dedicated marketplace ecosystem, enabling them to connect directly with customers while delivering powerful analytics and insights that help drive growth. Rather than relying solely on third-party marketplaces such as Facebook, eBay, or Vinted, brands can leverage a purpose-built platform that integrates with leading e-commerce solutions. This is an exciting opportunity to join a growing business at a critical stage of its journey, helping shape the future of AI-powered product development and agentic software systems. The company is looking for a Senior AI Software Engineer with a passion for building intelligent agents, shipping products, and leveraging AI tools to maximise development efficiency. Get in touch if you are looking for your next opportunity! Responsibilities Design, build, and deploy AI-powered agents and agentic software solutions. Own features end-to-end, from concept and development through to production deployment. Develop scalable applications using TypeScript, Node.js, React, JavaScript, and Express. Drive DevOps and infrastructure initiatives, including Kubernetes deployments and development environments. Partner with founders and stakeholders to influence technical decisions and product direction. Leverage AI tools, particularly Claude, to accelerate development and establish engineering best practices. Experience Strong software engineering background with expertise in TypeScript, Node.js, React, JavaScript, and Express. Proven experience building AI agents, autonomous workflows, or agentic software applications. Advanced user of Claude and other AI-assisted development tools. Strong understanding of software architecture, feature ownership, and product-led development. Experience with Linux, developer tooling, DevOps practices, containerisation, and Kubernetes. Comfortable working in a startup environment with a high level of ownership and autonomy. Desirable Experience integrating AI capabilities into SaaS products. Background working with e-commerce, marketplace, or platform-based businesses. Familiarity with analytics platforms and data-driven product development. Experience scaling products and engineering teams within startup environments. Knowledge of cloud-native architectures and modern infrastructure practices. Salary £70,000 - £100,000 depending on experience. Location London-based company operating a flexible working model. The team primarily works from the office, however flexibility is available for the right candidate. Occasional travel for meetings may be required. How to Apply Please apply ASAP with your CV to be considered for this position. You can also get in touch with me on or .
09/06/2026
Full time
Senior AI Agent Manager Pearson Carter are currently working with an exciting UK-based startup that is transforming how brands sell, market, and grow online. Their platform provides businesses with a dedicated marketplace ecosystem, enabling them to connect directly with customers while delivering powerful analytics and insights that help drive growth. Rather than relying solely on third-party marketplaces such as Facebook, eBay, or Vinted, brands can leverage a purpose-built platform that integrates with leading e-commerce solutions. This is an exciting opportunity to join a growing business at a critical stage of its journey, helping shape the future of AI-powered product development and agentic software systems. The company is looking for a Senior AI Software Engineer with a passion for building intelligent agents, shipping products, and leveraging AI tools to maximise development efficiency. Get in touch if you are looking for your next opportunity! Responsibilities Design, build, and deploy AI-powered agents and agentic software solutions. Own features end-to-end, from concept and development through to production deployment. Develop scalable applications using TypeScript, Node.js, React, JavaScript, and Express. Drive DevOps and infrastructure initiatives, including Kubernetes deployments and development environments. Partner with founders and stakeholders to influence technical decisions and product direction. Leverage AI tools, particularly Claude, to accelerate development and establish engineering best practices. Experience Strong software engineering background with expertise in TypeScript, Node.js, React, JavaScript, and Express. Proven experience building AI agents, autonomous workflows, or agentic software applications. Advanced user of Claude and other AI-assisted development tools. Strong understanding of software architecture, feature ownership, and product-led development. Experience with Linux, developer tooling, DevOps practices, containerisation, and Kubernetes. Comfortable working in a startup environment with a high level of ownership and autonomy. Desirable Experience integrating AI capabilities into SaaS products. Background working with e-commerce, marketplace, or platform-based businesses. Familiarity with analytics platforms and data-driven product development. Experience scaling products and engineering teams within startup environments. Knowledge of cloud-native architectures and modern infrastructure practices. Salary £70,000 - £100,000 depending on experience. Location London-based company operating a flexible working model. The team primarily works from the office, however flexibility is available for the right candidate. Occasional travel for meetings may be required. How to Apply Please apply ASAP with your CV to be considered for this position. You can also get in touch with me on or .
# Technical Project ManagerLead delivery of cutting-edge AI solutions in healthcare by bridging engineering, product, and customer teams to drive successful deployment, adoption, and continuous platform innovation.LondonTechnical The Role Key Responsibilities: Customer & Partner Engagement Cross-Functional Collaboration Platform Delivery Technical Leadership Requirements Technical Experience Nice to Have Perks and Benefits Application Contact Information General InformationPangaea Data (Pangaea) is a South San Francisco and London based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology). They have worked in medicine and computing for over 20 years and have raised over $300 million through their academic research, including a $110 million grant focused on development work on large language models in medicine. Pangaea's AI platform is configured on clinical guidelines to find more untreated and under-treated patients with hard-to-diagnose conditions for screening and treatment at the point of care. Pangaea's advisors include industry veterans from healthcare and the life sciences, including Lord David Prior (former chairman, NHS England) and Mr. Andy Palmer (former CIO, Novartis). The Role Key Responsibilities: Customer & Partner Engagement Participate in technical discussions with customers, partners, and strategic stakeholders. Explain AI capabilities, deployment approaches, and system architecture to technical and non-technical audiences. Support implementation projects, technical workshops, and solution design activities. Prepare technical materials for business development activities (e.g. demos, proposals, RFP responses). Cross-Functional Collaboration Work closely with clinicians, product managers, and commercial teams to understand real-world healthcare challenges. Gather internal and external feedback to inform product development priorities. Communicate upcoming platform changes and support successful feature adoption. Contribute to research publications and thought leadership. Platform Delivery Work closely with engineers to understand the product development and roadmap. Work closely with engineers to ensure high standards of software quality, testing, documentation, and maintainability. Monitor performance of deployed features and drive continuous product improvement. Technical Leadership Translate business and product goals into clear technical priorities and deliverables. Contribute to definition and execution of the AI product and technology roadmap. Evaluate emerging AI technologies and assess relevance to platform evolution. Mentor engineers and promote best practices in engineering and architecture. Requirements Technical Experience Degree (Bachelor's or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field. Strong hands-on experience building and deploying AI / ML / DL / NLP / LLM systems in production environments. Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code). Experience with data engineering, APIs, distributed systems, and cloud platforms (Azure / AWS / GCP). Experience working with structured and unstructured healthcare data or complex enterprise datasets. Familiarity with Linux environments and modern development workflows. Leadership & Stakeholder Skills Experience leading technical projects or mentoring engineers. Comfortable engaging directly with customers and senior stakeholders. Ability to communicate complex technical concepts clearly and pragmatically. Strong product mindset and focus on delivering real user value. Nice to Have Experience integrating with healthcare systems (e.g. EHR platforms such as Epic or Cerner). Experience building commercial software products in regulated environments. Publications or research experience in AI / ML / DL / NLP / LLM or biomedical informatics. Startup or scale-up experience. Perks and Benefits Flexible working hours. Benefits include private medical insurance, life insurance and travel cards. You would join a small, dedicated and fast-growing team. You will have the opportunity to learn about building a startup business from experienced professionals and serial entrepreneurs. We are currently supported by serial entrepreneurs and angel investors. You will have the opportunity to experience an investment life cycle for a startup and meet leading venture capitalists. Application Contact InformationYour application should include you cv and cover letter highlighting your relevant experience. Please email your application to
09/06/2026
Full time
# Technical Project ManagerLead delivery of cutting-edge AI solutions in healthcare by bridging engineering, product, and customer teams to drive successful deployment, adoption, and continuous platform innovation.LondonTechnical The Role Key Responsibilities: Customer & Partner Engagement Cross-Functional Collaboration Platform Delivery Technical Leadership Requirements Technical Experience Nice to Have Perks and Benefits Application Contact Information General InformationPangaea Data (Pangaea) is a South San Francisco and London based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology). They have worked in medicine and computing for over 20 years and have raised over $300 million through their academic research, including a $110 million grant focused on development work on large language models in medicine. Pangaea's AI platform is configured on clinical guidelines to find more untreated and under-treated patients with hard-to-diagnose conditions for screening and treatment at the point of care. Pangaea's advisors include industry veterans from healthcare and the life sciences, including Lord David Prior (former chairman, NHS England) and Mr. Andy Palmer (former CIO, Novartis). The Role Key Responsibilities: Customer & Partner Engagement Participate in technical discussions with customers, partners, and strategic stakeholders. Explain AI capabilities, deployment approaches, and system architecture to technical and non-technical audiences. Support implementation projects, technical workshops, and solution design activities. Prepare technical materials for business development activities (e.g. demos, proposals, RFP responses). Cross-Functional Collaboration Work closely with clinicians, product managers, and commercial teams to understand real-world healthcare challenges. Gather internal and external feedback to inform product development priorities. Communicate upcoming platform changes and support successful feature adoption. Contribute to research publications and thought leadership. Platform Delivery Work closely with engineers to understand the product development and roadmap. Work closely with engineers to ensure high standards of software quality, testing, documentation, and maintainability. Monitor performance of deployed features and drive continuous product improvement. Technical Leadership Translate business and product goals into clear technical priorities and deliverables. Contribute to definition and execution of the AI product and technology roadmap. Evaluate emerging AI technologies and assess relevance to platform evolution. Mentor engineers and promote best practices in engineering and architecture. Requirements Technical Experience Degree (Bachelor's or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field. Strong hands-on experience building and deploying AI / ML / DL / NLP / LLM systems in production environments. Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code). Experience with data engineering, APIs, distributed systems, and cloud platforms (Azure / AWS / GCP). Experience working with structured and unstructured healthcare data or complex enterprise datasets. Familiarity with Linux environments and modern development workflows. Leadership & Stakeholder Skills Experience leading technical projects or mentoring engineers. Comfortable engaging directly with customers and senior stakeholders. Ability to communicate complex technical concepts clearly and pragmatically. Strong product mindset and focus on delivering real user value. Nice to Have Experience integrating with healthcare systems (e.g. EHR platforms such as Epic or Cerner). Experience building commercial software products in regulated environments. Publications or research experience in AI / ML / DL / NLP / LLM or biomedical informatics. Startup or scale-up experience. Perks and Benefits Flexible working hours. Benefits include private medical insurance, life insurance and travel cards. You would join a small, dedicated and fast-growing team. You will have the opportunity to learn about building a startup business from experienced professionals and serial entrepreneurs. We are currently supported by serial entrepreneurs and angel investors. You will have the opportunity to experience an investment life cycle for a startup and meet leading venture capitalists. Application Contact InformationYour application should include you cv and cover letter highlighting your relevant experience. Please email your application to
Our client, a rapidly scaling fintech, is seeking an exceptional Vice President of Software Engineering to lead and evolve a large, high-performing engineering organisation. This role sits at the intersection of technical leadership, organisational scale, and AI driven innovation. You will take ownership of an engineering function of 100-120 Software Engineers, supported by 6 Software Engineering Managers, and play a central role in shaping both capability and culture during a critical growth phase. This is a true player coach position-requiring deep technical credibility alongside proven leadership at scale. Key Responsibilities Lead, develop, and scale a multi layered engineering organisation, ensuring strong leadership at every level. Own delivery against a complex product roadmap, driving measurable business outcomes. Define engineering strategy, architecture, and organisational design aligned to growth objectives. Maintain hands on technical engagement, contributing to high level design and decision making. Champion AI first engineering practices, building on an environment where 80-90% of code is AI generated, with a roadmap to 95%+. Embed modern engineering excellence (CI/CD, trunk based development, observability, and automated testing). Partner cross functionally across Product, DevOps, Security, and Platform teams. Build a high performance culture grounded in accountability, innovation, and continuous improvement. Leadership & Scale 8+ years in software engineering leadership roles, with at least 3+ years operating at VP level (or equivalent). Proven experience leading large scale engineering organisations (minimum 50+ engineers). Demonstrated success as a manager of managers, including developing senior engineering leaders. Track record of scaling teams and capabilities in high growth environments, ideally within startups or SME organisations. Technical Expertise Strong hands on engineering background with the ability to remain technically engaged. Deep technical fluency across modern architectures and polyglot environments (including .NET/C#, with exposure to other languages such as Java or Ruby). Experience defining architecture and engineering strategy at scale. Ability to challenge, guide, and influence technical decisions at all levels. AI & Modern Engineering Practices (Critical) Proven experience working in an AI enabled or AI first engineering environment. Hands on use of AI assisted or agentic development tools (e.g. Claude or similar). Clear understanding of how AI can accelerate delivery, improve quality, and reshape engineering workflows. Experience driving adoption of AI tooling across teams and embedding it into the development lifecycle. Delivery & Engineering Excellence Strong background in continuous delivery environments, where software is shipped to production frequently or daily. Expertise in modern practices including CI/CD pipelines, trunk based development, automated testing strategies, observability and system reliability. Proven ability to use engineering metrics to drive performance and continuous improvement. Organisational Design & Methodologies Experience designing and evolving engineering organisations using modern frameworks (e.g. Lean, Scrum, Kanban, XP). Strong understanding of team topologies (stream aligned, platform, enabling teams). Ability to align organisational structure to product and delivery needs. Leadership Mindset & Approach Excellent communication skills with the ability to influence executive stakeholders. Comfortable operating in ambiguous, fast moving environments. Strong problem solving mindset with a willingness to experiment and iterate. Values transparency, continuous learning, and candid feedback. Demonstrates curiosity, innovation, and the ability to identify novel solutions to complex challenges. Why This Role? Opportunity to lead a large, complex engineering function at scale. Significant influence over the evolution of AI driven software development practices. Join a high growth fintech at a pivotal stage of its journey. Work in an environment where engineering excellence and innovation are core to success. If you are a technically credible engineering leader with experience scaling teams, embedding AI into development, and delivering at pace, this is a rare opportunity to make a significant impact.
09/06/2026
Full time
Our client, a rapidly scaling fintech, is seeking an exceptional Vice President of Software Engineering to lead and evolve a large, high-performing engineering organisation. This role sits at the intersection of technical leadership, organisational scale, and AI driven innovation. You will take ownership of an engineering function of 100-120 Software Engineers, supported by 6 Software Engineering Managers, and play a central role in shaping both capability and culture during a critical growth phase. This is a true player coach position-requiring deep technical credibility alongside proven leadership at scale. Key Responsibilities Lead, develop, and scale a multi layered engineering organisation, ensuring strong leadership at every level. Own delivery against a complex product roadmap, driving measurable business outcomes. Define engineering strategy, architecture, and organisational design aligned to growth objectives. Maintain hands on technical engagement, contributing to high level design and decision making. Champion AI first engineering practices, building on an environment where 80-90% of code is AI generated, with a roadmap to 95%+. Embed modern engineering excellence (CI/CD, trunk based development, observability, and automated testing). Partner cross functionally across Product, DevOps, Security, and Platform teams. Build a high performance culture grounded in accountability, innovation, and continuous improvement. Leadership & Scale 8+ years in software engineering leadership roles, with at least 3+ years operating at VP level (or equivalent). Proven experience leading large scale engineering organisations (minimum 50+ engineers). Demonstrated success as a manager of managers, including developing senior engineering leaders. Track record of scaling teams and capabilities in high growth environments, ideally within startups or SME organisations. Technical Expertise Strong hands on engineering background with the ability to remain technically engaged. Deep technical fluency across modern architectures and polyglot environments (including .NET/C#, with exposure to other languages such as Java or Ruby). Experience defining architecture and engineering strategy at scale. Ability to challenge, guide, and influence technical decisions at all levels. AI & Modern Engineering Practices (Critical) Proven experience working in an AI enabled or AI first engineering environment. Hands on use of AI assisted or agentic development tools (e.g. Claude or similar). Clear understanding of how AI can accelerate delivery, improve quality, and reshape engineering workflows. Experience driving adoption of AI tooling across teams and embedding it into the development lifecycle. Delivery & Engineering Excellence Strong background in continuous delivery environments, where software is shipped to production frequently or daily. Expertise in modern practices including CI/CD pipelines, trunk based development, automated testing strategies, observability and system reliability. Proven ability to use engineering metrics to drive performance and continuous improvement. Organisational Design & Methodologies Experience designing and evolving engineering organisations using modern frameworks (e.g. Lean, Scrum, Kanban, XP). Strong understanding of team topologies (stream aligned, platform, enabling teams). Ability to align organisational structure to product and delivery needs. Leadership Mindset & Approach Excellent communication skills with the ability to influence executive stakeholders. Comfortable operating in ambiguous, fast moving environments. Strong problem solving mindset with a willingness to experiment and iterate. Values transparency, continuous learning, and candid feedback. Demonstrates curiosity, innovation, and the ability to identify novel solutions to complex challenges. Why This Role? Opportunity to lead a large, complex engineering function at scale. Significant influence over the evolution of AI driven software development practices. Join a high growth fintech at a pivotal stage of its journey. Work in an environment where engineering excellence and innovation are core to success. If you are a technically credible engineering leader with experience scaling teams, embedding AI into development, and delivering at pace, this is a rare opportunity to make a significant impact.
The Opportunity It's an incredible time to join the Engineering team at Multiverse, the UK's first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of 1,000s of people. The Mission: Multiverse is reshaping the future of workforce development. You will join a domain team to gain deep knowledge of our products and play a key role in delivering scalable, user-focused solutions across the platform. The Environment: This is a high-trust, hands-on building environment. You won't just pick up tickets; you'll build production systems alongside experts, supported by "10% time" for experimentation and weekly knowledge-sharing The Product: Atlas is Multiverse's flagship AI product and a central pillar of our mission to equip the workforce for the AI era. Built directly into our learning platform and used by 1000s of users daily, Atlas serves as an AI guide available to apprentices 24/7, providing personalised, context-aware support exactly when they need it. The Atlas Team You will be joining a high-growth, high-impact squad that functions with the agility of a startup within Multiverse. Our team is relatively new, which means you'll have a significant voice in shaping our technical direction, architecture, and "ways of working." We foster a culture of engineering craft and rapid innovation. We are focused on building sustainable, enterprise-grade architecture for the future of AI-led education. We value engineers who are comfortable "swimming in the deep end," who care deeply about the intersection of AI and user experience, and who are excited to solve the unique challenges of agentic orchestration at scale. What You Will Do Build Production Systems: Write clean, extensible code for real users, ensuring systems are well-documented and tested. Full-Stack Shipping: Work across our stack (Python, TypeScript, React, Elixir, AWS) to deliver features that improve education quality and scale our impact. Master AI Engineering: Proactively explore the potential of AI-assisted development (e.g., Cursor, Gemini, or Claude Code) to enhance quality and velocity. Technical Leadership: Act as a team multiplier by feature leading, supporting other engineers, and providing technical direction for your squad. Operational Excellence: Define squad-level technical metrics to guarantee system health and ensure proactive monitoring is in place. What We Are Looking For Technical Foundation Mastery of Craft: You possess excellent technical skills and have a strong understanding of non-functional requirements like security, performance, and scalability. Clean Code: You write tested, scalable code and understand how to make tests an asset rather than a cost. Systems Thinking: You can design and architect solutions to solve complex business problems and understand the trade-offs of different technical paths. AI Curiosity & Experience AI as an Engine: You treat AI as a core tool to improve efficiency and results, not just an optional experiment. Product & Communication Ownership: You possess a strong sense of prioritisation, understanding when an issue needs to be fixed immediately and when it can wait. Clarity: You can explain complex technical concepts clearly to both technical and non-technical audiences, inspiring confidence in stakeholders. Operating Principles in Action Solve for Customer Value: You connect your work directly to business outcomes, ensuring every decision creates value for our apprentices and paying customers. Drivers, Not Passengers: You don't wait for permission to fix a problem; you proactively unblock yourself and your peers while taking responsibility for your decisions and mistakes. Be Decisive, Even in Ambiguity: You act with speed, launching "imperfect" solutions to test and learn quickly without shifting blame. AI to Deliver Outcomes: You are excited about using AI to accelerate development while maintaining high standards for code quality. What Would Set You Apart Event-Driven Expertise: Experience with event-driven architecture to help us build even more robust systems. Mentorship: A track record of actively upskilling others through mentoring, pairing, and impactful code reviews. Open Source: Contributions to the wider engineering community or a passion for exploring emerging industry trends What We Are Not Looking For Passive Workers: We don't provide rigid sprint plans; we need autonomous problem-solvers who drive outcomes. Narrow Specialists: This is a full-stack environment where flexibility across the lifecycle-from requirements to deployment-is key. Perfectionists over Progress: We value "speed as a strategy" and the ability to course-correct quickly over prolonged analysis. Interview Process Initial Screen: A brief chat about your background, achievements, and impact. AI-Assisted Technical: A coding/system design exercise where you use AI tools to build a system. We will then deep dive into your technical mastery. We evaluate your ability to review AI output critically and handle iterative requirements. Architectural & Behaviours: How you live our Operating Principles. Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
07/06/2026
Full time
The Opportunity It's an incredible time to join the Engineering team at Multiverse, the UK's first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of 1,000s of people. The Mission: Multiverse is reshaping the future of workforce development. You will join a domain team to gain deep knowledge of our products and play a key role in delivering scalable, user-focused solutions across the platform. The Environment: This is a high-trust, hands-on building environment. You won't just pick up tickets; you'll build production systems alongside experts, supported by "10% time" for experimentation and weekly knowledge-sharing The Product: Atlas is Multiverse's flagship AI product and a central pillar of our mission to equip the workforce for the AI era. Built directly into our learning platform and used by 1000s of users daily, Atlas serves as an AI guide available to apprentices 24/7, providing personalised, context-aware support exactly when they need it. The Atlas Team You will be joining a high-growth, high-impact squad that functions with the agility of a startup within Multiverse. Our team is relatively new, which means you'll have a significant voice in shaping our technical direction, architecture, and "ways of working." We foster a culture of engineering craft and rapid innovation. We are focused on building sustainable, enterprise-grade architecture for the future of AI-led education. We value engineers who are comfortable "swimming in the deep end," who care deeply about the intersection of AI and user experience, and who are excited to solve the unique challenges of agentic orchestration at scale. What You Will Do Build Production Systems: Write clean, extensible code for real users, ensuring systems are well-documented and tested. Full-Stack Shipping: Work across our stack (Python, TypeScript, React, Elixir, AWS) to deliver features that improve education quality and scale our impact. Master AI Engineering: Proactively explore the potential of AI-assisted development (e.g., Cursor, Gemini, or Claude Code) to enhance quality and velocity. Technical Leadership: Act as a team multiplier by feature leading, supporting other engineers, and providing technical direction for your squad. Operational Excellence: Define squad-level technical metrics to guarantee system health and ensure proactive monitoring is in place. What We Are Looking For Technical Foundation Mastery of Craft: You possess excellent technical skills and have a strong understanding of non-functional requirements like security, performance, and scalability. Clean Code: You write tested, scalable code and understand how to make tests an asset rather than a cost. Systems Thinking: You can design and architect solutions to solve complex business problems and understand the trade-offs of different technical paths. AI Curiosity & Experience AI as an Engine: You treat AI as a core tool to improve efficiency and results, not just an optional experiment. Product & Communication Ownership: You possess a strong sense of prioritisation, understanding when an issue needs to be fixed immediately and when it can wait. Clarity: You can explain complex technical concepts clearly to both technical and non-technical audiences, inspiring confidence in stakeholders. Operating Principles in Action Solve for Customer Value: You connect your work directly to business outcomes, ensuring every decision creates value for our apprentices and paying customers. Drivers, Not Passengers: You don't wait for permission to fix a problem; you proactively unblock yourself and your peers while taking responsibility for your decisions and mistakes. Be Decisive, Even in Ambiguity: You act with speed, launching "imperfect" solutions to test and learn quickly without shifting blame. AI to Deliver Outcomes: You are excited about using AI to accelerate development while maintaining high standards for code quality. What Would Set You Apart Event-Driven Expertise: Experience with event-driven architecture to help us build even more robust systems. Mentorship: A track record of actively upskilling others through mentoring, pairing, and impactful code reviews. Open Source: Contributions to the wider engineering community or a passion for exploring emerging industry trends What We Are Not Looking For Passive Workers: We don't provide rigid sprint plans; we need autonomous problem-solvers who drive outcomes. Narrow Specialists: This is a full-stack environment where flexibility across the lifecycle-from requirements to deployment-is key. Perfectionists over Progress: We value "speed as a strategy" and the ability to course-correct quickly over prolonged analysis. Interview Process Initial Screen: A brief chat about your background, achievements, and impact. AI-Assisted Technical: A coding/system design exercise where you use AI tools to build a system. We will then deep dive into your technical mastery. We evaluate your ability to review AI output critically and handle iterative requirements. Architectural & Behaviours: How you live our Operating Principles. Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
