23 jobs found

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients' engineering teams, you'll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI. In this role, you will: Build and ship features for North, our AI workspace platform Develop autonomous agents that talk to sensitive enterprise data Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations Work across the entire product lifecycle from conceptualization through production You may be a good fit if: You have experience with and enjoy working directly with customers You have shipped (lots of) Python in production You have built and deployed highly performant client-side or server-side RAG/agentic applications You have strong coding abilities and are comfortable working across the stack. You're able to read and understand, and even fix issues outside of the main code base You excel in fast-paced environments and can execute while priorities and objectives are a moving target If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend 6 weeks of vacation (30 working days!)

About the role Taktile is building a platform for creating, publishing, and executing AI-powered agents that help teams automate complex workflows in financial services. The Agents team owns the agent execution runtime, tool orchestration, and platform infrastructure that makes this possible. We are hiring a Back-End Engineer to help build and ship production features across this stack. You'll work alongside experienced engineers, contribute to real product impact from day one, and grow your skills in a fast-moving, high-ownership environment. Taktile is a hybrid company. This role requires working at least 3 days per week from our Berlin HQ. What You'll Do Build and ship backend features for Taktile's AI agent platform in Python (FastAPI), deployed on AWS serverless infrastructure. Own your work end-to-end: collaborate on scope, implement, test, release, and iterate based on real usage and customer feedback. Improve how agents run, how they connect to external tools, and how they behave when something goes wrong. Use leading-edge AI tools (e.g. Claude) on a daily basis to move faster, improve quality, and build AI-native capabilities where it makes sense. Review pull requests with depth, improve test coverage and CI/CD, and raise the bar on reliability and engineering excellence. Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from experienced team members, contributing to a foundational layer of the product, and joining cross-team learning groups. For career growth at Taktile, this role will involve daytime ops duty and at some point joining an on-call rotation, so you need to have passion for owning systems end to end and grow your DevSecOps skills as well. Technical stack Backend: Python (FastAPI, Pydantic) Data: DynamoDB, Postgres Cloud: AWS serverless (Lambda, API Gateway) AI: LLM orchestration, tool-use frameworks, streaming execution Frontend: React, TypeScript (you will collaborate closely, but this is not a front-end role) Requirements Strong engineering fundamentals with a passion for simplicity and precision. Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Strong English skills are also crucial to efficiently interacting with AI. Prior industry experience with Python back-end development (this is not an entry-level position). Experience building and operating RESTful APIs and working with databases. Experience integrating into AWS or similar cloud providers. Ideally, but not required FastAPI and Pydantic experience. DynamoDB or Postgres, SQLAlchemy. Exposure to LLM application development, agent frameworks, or building developer tools. Prior ops or on-call experience. Experience with distributed systems, async task processing, or observability tooling (tracing, metrics, logging). Our Offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package. Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Receive a new Apple MacBook Pro, as well as meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.

Sanity is looking for a Senior Software Engineer to own authentication and authorization infrastructure. The role involves working on distributed systems and security protocols essential for scaling access across the platform. You will collaborate with various teams and have a significant impact on defining how AI agents authenticate and establish trust. Ideal candidates have strong backend development experience, particularly with TypeScript and Node.js, and a security-first mindset. The position offers a remote working environment in Europe.

The Role Title: Lead Backend Engineer (AI & Back Office) Team: AI & Back Office Location: Remote UK This role will play a central part in how Midnite scales internal operations and defines the practical use of AI across engineering and the wider business. You'll lead the build of a greenfield back office platform while helping shape how AI is used to improve workflows, decision making, and efficiency across the company. You'll combine technical leadership with hands on engineering, guiding a small team while building production systems that have direct business impact. You will Design and build scalable backend systems for Midnite's internal back office platform. Lead and mentor a small team of engineers while remaining hands on in delivery. Write production code and use AI assisted development approaches to accelerate execution. Productionise and deploy AI powered tools for engineering and business use cases. Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG style patterns where they create real value. Collaborate closely with Product to shape requirements, technical solutions, and delivery plans. Work with internal stakeholders to understand operational pain points and turn them into effective tooling. Define architecture, engineering standards, and best practices for a new team and platform. The next Midniter Brings 7+ years of backend engineering experience, including time operating at a senior or lead level. Has experience leading or mentoring engineers in a hands on technical leadership capacity. Has built internal platforms, back office systems, or operational tooling. Has professional experience integrating LLMs or AI APIs into production environments. Has a solid understanding of databases (PostgreSQL or similar). Has strong system design instincts across scalable, reliable backend services. Has strong proficiency in Python (or another backend language with willingness to learn Python). Has cloud, deployment, and production engineering fundamentals, including CI/CD, observability, and infrastructure in modern environments. Brings strong ownership, product thinking, and a bias toward delivery. Communicates clearly with both technical and non technical stakeholders. Winnings Private health insurance with zero excess, including optical cover and optional dental. Income protection to protect your earnings and give you peace of mind. Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years. Flexible working and a fully supported home office setup so you can do your best work from home. Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees. Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want. Retail discounts and subscription perks across a wide range of brands. Quarterly team socials to connect, celebrate and have fun together. At Midnite, we're committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.

Location London Employment Type Full time Location Type On-site Department Modeling, Applied-ML Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! About the Company: Cohere's team partners with UK public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively with government agencies, NHS trusts, and local authorities to address complex societal challenges while maintaining the highest standards of data security and compliance. As a Software Engineer (SWE) on our Applied ML team you will work directly with UK public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack. In this role, you'll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You'll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! About the Role: We seek strong SWE's with deep UK public sector expertise to lead GenAI implementation projects. This role requires active SC Clearance (with willingness to obtain DV Clearance if needed). In this role, you will: Own and build large new areas within our product. Work across the backend, frontend, and interact with Large Language Models. Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations. Work across the entire product lifecycle from conceptualisation through production. This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js. Experience building ML infrastructure and AI-powered solutions. Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index. A track record in scaling products at hyper-growth startups. Strong written and verbal communication skills. Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences. Qualifications: Mandatory: Active SC Clearance (DV Clearance preferred) UK citizenship with 8+ years in public sector technology roles Proven experience deploying AI/ML solutions in secure government environments Deep understanding of UK public sector ecosystems (Central/Local Government, NHS, Emergency Services) Familiarity with government cloud strategies (e.g., Crown Hosting, G-Cloud, MODNET) and data security frameworks Experience building LLM applications using tools such as Langchain. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend 6 weeks of vacation (30 working days!)

At Katanox we're looking for a Software Engineer to join our team. About Katanox Katanox is building the infrastructure layer for hospitality: software that connects hotels and travel buyers and moves money between them. Our platform brings distribution and payments into one workflow (contracting, connectivity, reconciliation, and settlement), so partners can operate with less fragmentation and fewer manual handoffs. For engineers, this means building reliable systems that handle complex B2B workflows and real financial constraints, with a focus on data integrity, auditability, security, and operational excellence. We're headquartered in Amsterdam with hubs in London and New York. Why join Katanox Build software that moves real money: Work on Kotlin services that sit on the critical path for payments, reconciliation, and settlement. Solve hard problems, end to end: Own outcomes across data models, APIs, and the production realities (observability, reliability, compliance). High trust team, high standards: Direct communication, strong engineering fundamentals, and a bias toward shipping and learning. In person collaboration (hub model): We do our best work together, spending regular time in Amsterdam, London, or New York to move faster and build trust. Growth stage ownership: The surface area is big, and the team is lean; your decisions will shape the platform. How we work A cornerstone of our culture is in person collaboration. We follow a "hub" model with unique hubs in Amsterdam, London, and New York, where we regularly collaborate face to face, onboard customers and colleagues, hold design sessions, and host events. We do not hire for strictly remote roles. We expect people to spend meaningful time in our hubs because this is how we maintain our culture, build trust, and move quickly together. We're also a financially regulated company. That means high standards for security, auditability, and decision making. This means your work ships with the rigor and reliability you'd expect from systems that move real money. Our values Team over the individual, no ego: We prioritize the success of the whole team over individual agendas. We win together, share credit, and leave egos at the door. Data beats excitement: We welcome bold ideas, but we commit based on evidence. We use data, experimentation, and clear hypotheses to decide what to build. Dare to do: We are proactive, take smart risks, and move from talking to doing. We learn by shipping and improve through iteration. See it, own it, and close it: When we spot a problem or opportunity, we take responsibility to drive it to completion instead of assuming someone else will. We apply radical candor: We care personally and challenge directly. We give and receive honest feedback so we can grow faster as individuals and as a team. In person first, call second: We prioritize in person collaboration in our hubs to build trust, move quickly, and solve hard problems together. Build collaboratively: We actively involve the right people, share context early, and co create solutions across teams and disciplines. Iterate fast and pragmatically: We ship small, learn quickly, and avoid over engineering. We focus on solutions that work in reality, not just in theory. About the role You'll work on the backend systems at the core of Katanox. These are the services that move money between hotels, travel buyers, and payment networks, and the infrastructure that keeps bookings, pricing, and reconciliation consistent across a fragmented industry. Expect to ship Kotlin services that handle real transactions, in real time, for real customers. This role is for someone who likes ownership and depth. You'll help shape architecture with other engineers, ship iteratively, and raise the bar for reliability and correctness in a regulated environment where a missed event is a failed reservation or a misrouted payout. What you will work on Building distributed systems that move real money and real bookings between hotels, the world's largest travel agents, and payment networks, where a dropped event isn't a bug ticket but a failed reservation or a misrouted payout. Designing and operating high availability components in a regulated environment, where "it usually works" isn't good enough. Think idempotency, exactly once semantics, graceful degradation, and the kind of observability that lets you sleep at night. Working on the parts of the platform where scale is non trivial: millions of searches per day, connectivity to a long tail of supplier and acquirer systems, and pricing/availability flows that have to stay correct under load. Going deep on a single domain (payments, distribution, contracting, reconciliation) while still understanding how the whole platform fits together, because the interesting problems at Katanox usually sit at the seams between two of them. Shaping architecture decisions, not just implementing them. We're still early enough that the choices you make this quarter will be load bearing for years to come. Owning what you ship end to end: design, build, deploy, monitor, and improve. No throw i over the wall culture. What we are looking for You've built and operated production systems that mattered. Ideally distributed, ideally with real availability and consistency requirements. You know the difference between "passes the tests" and "behaves well at 3 am on a Sunday." Strong Kotlin or Java experience, and you're opinionated about why. You care about code that's simple, testable, and boring in the best way. You enjoy reasoning about hard problems like concurrency, failure modes, data consistency, system boundaries and you can turn ambiguous business requirements into something that actually works. You want to work with smart, low ego people who push you. We hire for genuine curiosity and craft, not credentials, and we expect you to make the people around you better. You're genuinely interested in the domain. Payments and travel distribution are messy, regulated, and full of edge cases. If that sounds tedious rather than interesting, this probably isn't the right role. You take ownership. When something is broken or unclear, you pick it up rather than file it under "someone else's problem." Solid fundamentals: data structures, algorithms, system design, testing. Fluent in English. Tech stack snapshot Backend: Kotlin, Ktor, Arrow kt, Jooq, Postgres Frontend: React Infra: AWS, K8S

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a RevOps Systems Analyst to help build a modern, AI-powered revenue operations stack. This isn't a traditional Salesforce admin role. We're building a GTM tech stack where AI is a first-class citizen, automations are genuinely intelligent, and our CRM is a living system that reflects how our business actually works. You'll function as a Salesforce admin and backend developer in one. You'll own platform administration, build complex automations via Flows and Apex, and develop and maintain custom services and integrations, including Salesforce MCP servers and AI tooling that connect our CRM to the broader systems our team runs on. For larger engineering efforts, you'll work shoulder-to-shoulder with our engineering team, scoping and shipping together. In this role, you will: Administer our Salesforce org: object model, data architecture, user configuration, and platform health. Build and maintain automations via Salesforce Flows, Apex, and custom services that power our GTM processes end to end. Develop and maintain Salesforce MCP servers and AI tooling that extend CRM functionality into AI-powered workflows. Design and maintain SQL-based data pipelines that feed dashboards and revenue reporting across the org. Translate ambiguous business problems into clean technical scope, from stakeholder conversation to implemented solution. Requirements Salesforce administration experience with deep familiarity across the object model, Flows, data loading tools, and platform configuration. Strong Apex development skills: you can build, debug, and maintain custom logic, triggers, and integrations without leaning on a separate engineering team. SQL proficiency: you can decompose ambiguous questions into answerable queries and are comfortable with complex joins, aggregations, and pipeline logic. Systems mindset: you can hold an end-to-end process in your head, trace a field from its origin through every downstream dependency, and anticipate what breaks when something changes. Excited by modern tooling: you're drawn to building AI-native systems and are curious about where Salesforce, MCP, and AI agents intersect. Bonus: Familiarity with dbt or modern data transformation tooling. Experience with BI tools such as Sigma or Looker. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.

About Us At Verisian, we build deep tech and AI solutions that enable groundbreaking medical therapies to enter the market faster and safely. New medicines and devices are judged using all available evidence in the proper context and backed by automated analyses that validate and make data and results transparent to companies and regulators alike. Regulators will make the right decisions on novel therapies faster and with greater confidence, protecting patients from harm and making breakthrough treatments available as soon as is possible and safe. In times of increasing trial numbers and complexity, we are building technical innovation to remove crucial bottlenecks for pharmaceutical and medical device companies, as well as public health authorities, directly affecting clinical trial planning, analyses, validation, submission, and market approval. By joining us, you will commit yourself to building software and AI tools that directly contribute to increasing the rate at which medical innovation improves human health and wellbeing. Disclaimer We welcome candidates of diverse experience levels, and meeting every requirement is not mandatory. Research indicates that underrepresented groups tend to apply only if they meet all qualifications. If you're enthusiastic about the role, please apply and let our recruiters evaluate your application. Culture At Verisian, our mission is to build the future infrastructure of medical innovation. To help us succeed, we're creating a unique employee culture. We always put the mission first. We're fanatically customer obsessed, crafting world class products that customers love with every interaction. We take extreme ownership and accountability of our work, seeing whatever we do through to completion. We communicate candidly and directly with each other, even when it's uncomfortable. We're innately curious, open to alternative perspectives and invest passionately in our own continuous growth. Role Description As a Senior Backend Engineer, you will join our world class engineering team in building the Verisian Platform. You will work on an application that exposes our clinical trial insights to data managers, statistical programmers, statisticians, medical experts/writers, and regulatory authorities. The Verisian Platform brings value to a set of highly regulated processes crucial for medical progress and innovation. Your work will support the Planner, Builder, Explorer, Validator, Submitter, and related supporting modules. These core modules of the platform target the planning, exploration/onboarding, building, validation, submission, and review of clinical trials and their results. They enable data managers, statistical programmers, statisticians, medical writers, and regulators to deliver their work faster, at higher quality, lower cost, and in greater confidence. Our pipelines analyze clinical trial documentation, code, logs, data, and results to build a knowledge graph through code traceability. We harness the resulting dataset, column level and logic lineage to turn clinical trials into Information Infrastructure that can be used by experts and consumed by AI to revolutionize how therapies are evaluated and enter the market. We capture complex processes in fully and semi automated workflows that place experts in control and AI automation at their fingertips. We build visualizations to provide our customers with a maximum of insight as fast as possible. Our application stack is based on Next.js and deployed via Docker/Kubernetes in the cloud. The data analysis pipelines run in Argo Workflows. We analyze code based on Antlr4 and Java. AI agents are developed in Python. Git is where our code lives, and Github Actions is how it gets out into the world. You will develop parsers and compilers for programming languages (SAS, R, and Python) used by statistical programmers and data scientists to analyze clinical trials. You will then transform the code, data, specifications, and statistical results into complex graphs and related data structures. They will be used by our platform to expose our game changing functionality to users and consumed by our AI agents to automate the planning, analysis, validation, and submission of clinical trials. You will be expected to lead the analysis, design, building and testing of components of the code analytics and backend stack. As part of our core team, you will join us in designing, prioritising, building and testing new functionality, troubleshooting customer issues, finding root causes, and deploying required fixes to ensure maximal user impact and performance. Qualifications Experience with and strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Java and at least one other programming language Experience with and clear understanding of graph theory and algorithm implementation Experience with and love for complex root cause analyses to find and resolve bugs Experience identifying and resolving performance and scalability issues Strong focus on building as a team: we have a We & Mission mindset Strong ability to communicate complex technical problems and solutions, foresee risks, and align work across multiple teams and colleagues "If it's not code and documented, it doesn't exist" mindset Iteration mindset Bonus Points Experience with compilers/interpreters Experience with Antlr4/similar parsing framework Experience with R Experience with R/Python/interpreted programming language execution Benefits What you build impacts billions of people around the world Highly collaborative, ambitious and world class team Employee Stock Options Plan All remote, asynchronous work environment with in person summits around the world Pension plan and additional benefits depending on country of residence

About the role We're entering a new era of automation. At Camunda, we're building the operating system for agentic AI to automate critical business processes. The Enterprise Agentic Automation Team (EAAT) designs and operates production grade agentic solutions that serve as proof points for our customers. As a Senior Engineer, you will design, build, and operate enterprise grade agentic AI systems embedded in Camunda orchestrated workflows. You will turn AI capabilities into reliable, secure, and scalable production systems that run at the core of our organization. What You Will Do Design and implement production grade agentic orchestration systems combining executable BPMN, Camunda workers / connectors, DMN, and AI components. Design and build AI agents with clearly defined responsibilities, tools, memory strategies, and decision boundaries. Engineer and govern context pipelines (static instructions, dynamic enrichment, RAG, constraints, evaluation signals) to ensure reliable model behavior. Implement structured prompting, output enforcement, human in the loop patterns, and guardrails for safe, controllable execution. Build evaluation frameworks, feedback loops, and testing for deterministic and non deterministic systems. Operate agents in production (AgentOps): logging, monitoring, alerting, incident response, and continuous improvement. Contribute to production infrastructure standards including CI/CD, environment separation, secrets management, and security fundamentals. Must Haves 5+ years experience designing, building, and operating production grade systems (backend, platform, or full stack) with Java / Spring, including scalable services, integrations, and APIs. Proven AI Engineering experience building, testing and operating LLM powered systems in production. Hands on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or similar. Practical experience with context engineering (RAG pipelines, retrieval strategies, structured outputs, evaluation signals). Demonstrated end to end ownership across design, implementation, deployment, and operations. Solid understanding of cloud native infrastructure and production operations (CI/CD, environment separation, secrets, monitoring, incident response). Nice to Haves Experience with Camunda, BPMN, DMN, or other workflow/orchestration platforms. Experience building reusable internal platforms, shared services, or developer enablement components. Experience working in a Center of Excellence or similar cross functional transformation environment. Experience with Data Science and Machine Learning. Compensation United States: $143,800.00 to $231,900.00 United Kingdom: £90,300.00 to £148,500.00 Singapore: S$178,600.00 to S$267,900.00 Benefits & Perks Remote & Flexible: Work from anywhere with home office budget, co working space support, and flexible time off. In Person Connection: Annual kickoff, team offsites, connection budgets, and local gatherings. Health & Wellbeing: Access to local healthcare, Modern Health for global mental wellbeing, and a Live Well Lifestyle Spending Account. Financial Security: Retirement and pension plans with company contributions, life and disability insurance. Professional Growth: Up to 1000 per year for self driven learning (courses, certifications, books). We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP). Everyone is welcome at Camunda. We strive to create an inclusive environment that empowers our people. At Camunda, we honour diverse cultures and backgrounds and are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to gender, race, ethnicity, religion, belief, sexual orientation, age, disability or any other protected characteristics under applicable law. We are looking forward to your application! AI Disclaimer: Camunda may use AI tools to aid the screening of applications. This role is an existing vacancy.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co working : If you're not located near one of our main hubs, we offer a monthly co working stipend. About the role We are looking for back end engineers to expand the functionality of our system. There is flexibility in staffing engineers on projects across the company, depending on the project, your specific responsibilities might include: Building and maintaining our platform on top of our cutting edge voice models, which are used by millions of users. Improving our existing products to ensure that they're intuitive, powerful and make innovative use of our research team's latest break throughs. This could involve adding significant functionality, or building integrations with other common consumer/enterprise solutions. Maintaining and strengthening our internal infrastructure as we scale and grow to ensure that our products remain live, performant and secure. Collaborating closely with engineers and others from the Frontend, Growth and Sales teams to understand, and design solutions for our customers. Requirements We do not require any formal experience, certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, or GitHub contributions. We do require: Expertise in Python. A strong background in backend development. Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc. Knowledge about test design and security fundamentals. Bonus: Experience with Kubernetes. Experience with Stripe or other payment processing providers. Basics about how AI models work. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.

About our company Triptease. We are a disruptive force in the tech space for online travel. Never one to shy from big challenges, we built our reputation on empowering hotels to stand up to the might of Online Travel Agents. We are uniquely positioned to help hotels in their greatest time of need. The world class data set we've been building, combined with a new set of digital marketing tools has positioned us to accelerate our impact to Hoteliers. With offices in London, NYC, Barcelona and Singapore, we drive over £1bn in revenue for hoteliers around the globe. As we gear up for our next stage of growth, now is an ideal time to join our fast-growing and well funded technology business. Inclusion is how we unleash the power of diversity. It is how we build our teams, cultivate our leaders and ensure Triptease is the right fit for every person. Come join us on our journey; be comfortable bringing your authentic self to work. Be you! The Team You will be working in a small squad with between 2 and 6 people responsible for building, growing and maintaining different parts of the Triptease stack. We have both frontend and backend components, with a lean towards backend. All our teams are small, empowered and autonomous: we own the strategy and actions we need to take to be successful We embrace honest and open discussion. We truly value collaboration and are invested in maintaining a team that encourages everyone to contribute. We run daily standups, weekly planning and frequent retros and feedback sessions. We embrace pair programming the vast majority of the time. We practice trunk based development and continuous delivery. At the end of each week, we join the rest of the company to showcase what we've accomplished and share our pride in the work we have done with our colleagues. The Tech Stack The Triptease tech stack consists of TypeScript, Node.js, React, PostgreSQL, Redis, Mongo, Google Cloud Run / Kubernetes, BigQuery, Pub/Sub. We frequently work together with other squads, all squads use a similar stack which is great for building up expertise and having other engineers to support you. We're looking for You are collaborative, open-minded, and looking to continue to develop your craft. You're comfortable with pair programming all day Experience writing distributed, high availability, high throughput systems maintaining data consistency. You are proud of the code you produce; it's obvious, concise and rarely needs to be commented. You always like to leave the code better than you found it, and are experienced with refactoring techniques, in fact, it's how you code every day. You see writing tests as an integral part of the development process and understand the benefit of writing code and tests in small increments. The applications you build are modular and functional. Excellent skills in developing a solution all the way from client-side through to server-side. You love shipping code and seeing how it performs in production and therefore are passionate about delivery pipelines, A/B testing, real-time analytics and monitoring tools like DataDog. You are customer-centric and work well with product managers. You have a solid understanding of HTTP and how the internet works. Expert knowledge at using tests to drive the design of the application. You have experience with building deployment pipelines and continuous delivery on cloud platforms (we use Google Cloud Platform, Docker, Terraform and Kubernetes). Bonus Points for: You have an entrepreneurial streak, with some great examples of how you saw an opportunity and made it happen. Working in cross-functional teams practising XP and Kanban techniques. You have experience in multiple different programming languages and understand the value in bringing ideas from other ecosystems into your current environment. Why Join Us? Be part of a fast-paced, dynamic team at the forefront of travel technology innovation. Enjoy a collaborative and fun working environment with opportunities for personal and professional growth. Competitive salary package and rewards for high performance. If you're a driven sales professional eager to make an impact and thrive in a high-growth environment, we'd love to hear from you! Our start-up culture means everybody's contribution matters and is celebrated. We set ourselves ambitious goals and are proud of our ability to deliver those through smart working. Pace. We're growing. Get on board fast and be part of the journey. Having a real impact on an award-winning and fast-growing company. Benefits will vary depending on location Paid vacation days Working abroad for 4 weeks a year (within a -/+ 3 hours time zone) Enhanced maternity & paternity Monthly health and wellbeing allowance - You can use this for gym membership, private healthcare, massages, therapy, cinema etc Yearly learning allowance Life Event leave (marriage, divorce, moving house, child's first day at school, ceremony or graduation) Make a Difference (volunteering) day Plus much more! Subject to passing probation We also offer Quarterly review socials Hybrid or Remote working Refer a Friend policy Flexibility with childcare Sabbaticals (from year three onwards) We do not require external agency support for the recruitment of this role. Thank you. Our Operating Model & Culture In Product-Engineering, we hire people we trust, and then trust them to make their own choices on how they want to work, and how they want to reach a goal. This sounds simple but it requires a lot of investment in the right company culture. Our team is made up of autonomous squads who decide what they work on, how they work and within them have all the skills they need to complete their mission. That means we have no centralised teams (Ops, QA etc). We think that we are doing a good thing for hotels and guests and believe in our mission! We are working on a highly scaled platform that hotels use to build direct relationships with their customers and cut out middlemen. In terms of scale, our software operates on around 10k hotels and collects 30M guest events a day, and growing. That's a big opportunity to positively impact a lot of people. And we could all use a bit of travel in our lives right now! We engage with our customers to validate assumptions and test new features. We like to go crazy deep on the problem. 'Start with the problem' is one of our three core principles, and beyond tools like FullStory, Intercom and Analytics that help us learn about users, each squad has friends in CS and Sales and even hoteliers themselves to help build that knowledge. Pandemic permitting, hotel visits and travel research budgets are also a big plus. We care deeply about diversity and inclusion. Within Prod-Eng we have a dedicated D&I squad who meet regularly to work on and propose actions to improve D&I within the team and wider biz. Outside of hiring activities, we work hard to foster an environment of psychological safety. We truly value collaboration and are invested in maintaining a team that encourages everyone to contribute. We optimise for learning. We regularly provide each other with feedback and reflect on the ways we work. We use Notion to bring efficient transparency and create a home for everything we do. We have initiatives like 'Discovery Days', 'Field Trips' and 'Coding Dojos' to bring new people together and create more learning and development opportunities. We celebrate our progress. At the end of each week, we join the rest of the company to showcase what we've accomplished and share our pride in the work we have done with our colleagues. Triptease is proud to be an equal opportunity employer with an active cross-functional 'diversity squad' devoted to addressing diversity challenges in the company and industry. We welcome applications from diverse and non-traditional backgrounds. Applicants will not be discriminated against on the basis of any protected characteristic(s) in terms of the Equality Act (2010).

Build Autonomous Systems That Actually Work We're at 80% automation today, building toward 95% autonomous accounting. Looking for engineers who want to ship AI that eliminates entire categories of human work. The Mission Build autonomous agents that complete entire accounting workflows without human intervention. Your code will power self-running reconciliation, intelligent categorization, and eventually full month-end close. This isn't about incremental improvement - it's about making manual bookkeeping obsolete. What You'll Build Self-improving reconciliation agents that match transactions across 170+ currencies, crypto wallets, and payment processors with 98%+ accuracy. Multi-agent orchestration systems that coordinate complex workflows - from invoice processing to financial reporting. Document intelligence pipelines that extract and process any financial document. Reasoning agents that detect anomalies, explain decisions, and self-correct. Real-time processing systems handling millions of transactions with sub-second response times. Non-Negotiable: You Must Code with AI We only hire engineers who are highly proficient with AI tools. You should be using Claude/GPT-4/Copilot daily to ship 3-5x faster than traditional development. If you don't actively code with AI, this role isn't for you. The Technical Challenge Build agents that improve themselves - learning from corrections and patterns. Handle infinite edge cases across 21,000+ bank feeds and payment methods. Create explainable AI that accountants trust with their clients' finances. Design fault-tolerant systems that self-heal and never lose a transaction. Scale from SMEs to enterprise volumes without architecture changes. Core Technical Work Implement advanced RAG systems with domain-specific financial knowledge. Design event-driven architectures for real-time agent coordination. Create feedback loops where agents learn from each correction. Develop testing frameworks for autonomous systems with real financial implications. What You Need to Show Us You've built real AI/ML systems - production, research, or compelling personal projects. Strong Python skills and experience with modern AI frameworks. Hands-on work with LLMs, agent architectures, or autonomous systems. You ship working code, not just experiments. You can reason through complex system design problems. Technical Environment Distributed processing handling millions of daily transactions. Real-time event streaming and complex orchestration. Python-heavy backend with modern ML infrastructure. What Makes You Successful Here You're obsessed with automation - doing anything manually twice bothers you. You think in systems - how agents work together, not just individually. You measure success by customer hours saved and errors prevented. You're comfortable with ambiguity and can define your own path. You want to prove what AI can actually do beyond demos and prototypes. The Reality Check This is hard - you're automating work that humans have done for centuries You'll deal with real money, real businesses, and zero tolerance for errors The edge cases are endless and sometimes bizarre You'll need to learn accounting concepts (we'll teach you) Your code will process billions in transactions The Opportunity Accounting is a $88B market where most "AI" is just better search or rules engines. We're building agents that actually complete the work. You'll prove that autonomous systems can handle complex, high-stakes tasks that everyone said required human judgment. This is your chance to build AI that runs businesses, not chatbots that talk about running businesses. What We Offer Competitive salary based on experience Ship to production in your first week Own critical systems from day one Work with a small team where your contributions immediately matter Remote-first with quarterly team meetups Learning budget for courses and resources To Apply Show us: A project where you've built agents or complex automation Your approach to making systems truly autonomous Code that demonstrates your thinking (GitHub, notebooks, anything) Why you're excited about replacing human work with AI If you want predictable work on marginal improvements, this isn't for you. If you want to build autonomous systems that handle real-world complexity at scale and define what AI can actually do, let's talk!

About BigHand BigHand offers technology solutions for busy legal professionals that provide data and insights to increase value and profits. Through our expert knowledge and innovative technology, we enable our customers to achieve enhanced efficiency, better decision-making and harness their competitive edge. We build with tomorrow in mind, transforming ideas into action and empowering our customers to succeed in a world of constant change. We make big happen for our customers. We are a business driven by our values and have these at the centre of everything we do. Our BigHanders are dedicated to building a culture where We Win Together, We Love to Learn, We Do the Right Thing, We Own It and We Find the Fun. About the role BigHand has been iteratively building its cloud-native SaaS capabilities in the last few years, and continues to raise the bar - maturing our microservices-based, event-driven architecture, expanding AI across our product portfolio, and building a richer set of shared cross-product platform capabilities that let our product engineering teams move faster and deliver more value. AI is not a future ambition at BigHand - it is already shaping our products and our roadmap is accelerating. Our goal is for every product to be AI-powered, and over the next 12-18 months every product engineering team will be building or integrating AI capabilities. The person joining this role will have a genuine opportunity to shape how we architect and deliver those frontier capabilities at scale. Reporting to the Director of Architecture, you will take ownership of the architecture for one of our products, contribute to our cross-product platform, and own the standards and guardrails that give our product engineering teams the confidence to move fast without compromising on quality or customer outcomes. You will work closely with product teams, product engineering teams, the Architecture team, and our cloud engineering team to deliver architecture that is ambitious in vision and practical in delivery. What you'll do Product Architecture Define, evolve and deliver the architectural roadmap for your product area. Own API contracts, service boundaries, data models and inter-service communication patterns within your product. Use your technical depth to solve the hardest problems from product engineering team. Cross-Product Architecture Design and guide the build of shared, reusable platform capabilities to reduce duplication and increase engineering leverage across products. Champion our architectural principles: Open Modular Architecture, Data-centric Mindset, Event-Driven & Connected, Security & Privacy by Design Take new technologies from evaluation to adoption, and empower teams to use them confidently and consistently. Architecture Governance & Standards Define our architectural governance model for agentic SDLC from the ground up, encoding standards and principles as machine-readable context that agents consume at the start of development, so architectural alignment is built in rather than bolted on. Build the policy-as-code guardrails that agents cannot circumvent, to guarantee that AI-generated software aligned with our principles, quality standards and customer outcomes. Maintain BigHand's architectural standards as a clear, shared reference for how we build software. What we're looking for Essential Before you read through the skills below, we aren't expecting someone to tick every box. If the role excites you and you can bring most of this, we'd encourage you to apply. Strong experience designing microservices and distributed systems - APIs, service boundaries, data models, and deployment patterns. Experience building in cloud providers (Azure/AWS/GCP) - container orchestration (Kubernetes/AKS), managed databases, messaging, and networking. Experience building event-driven architectures - message brokers, event streaming, async patterns and their trade-offs. Experience designing systems where data privacy and auditability are first-class architectural concerns. Strong communication and design skills - able to translate business needs into technical architectures and explain complex trade-offs to both technical and non-technical stakeholders. Desirable Experience with .NET Core / C# or Java backend codebases - web APIs, data access patterns, and service composition. Experience integrating AI/ML capabilities into product architectures - LLMs, Azure AI services, or similar. Familiarity with any of: Domain-Driven Design, NoSQL databases (e.g. CosmosDB), stream processing, or CQRS/event sourcing patterns. Experience encoding architectural standards as automated, enforceable constraints - policy-as-code tooling that makes compliance verifiable and hard to bypass. What we offer 25 days holiday (exc. bank holidays) + 3 BigHand days off between Christmas & New Year Various wellbeing benefits including private medical, vision, online wellbeing programs & webinars, access to online therapy and Employee Resource Groups (ERG) Company-wide Wellness day, for our teams all across the globe to switch off and spend the day doing something to nourish their mental health Opportunities to give back with company volunteer events and individual volunteer days Career growth opportunities and study leave allowance Family benefits including enhanced parental leave, secondary caregiver leave and fertility support Financial benefits including pension scheme, life assurance, and salary sacrificing Cycle to Work Scheme and Tech Scheme Growing business with a global presence, flexible working, modern offices, and remote work options Our DEI Commitment We welcome the unique value and individuality that you can bring to BigHand. We are an equal opportunity employer and are dedicated to recruiting solely based on capability and potential regardless of race, gender, sexual orientation, gender identity or expression, age, educational background, national origin, religion, military status or physical ability. Our BigHanders are dedicated to advancing our culture of belonging by embracing differing viewpoints, opinions, thoughts, and ideas.

Overview Want to make the most of AI as part of the development process? Would you describe yourself as an engineer who owns product outcomes, not just code? Want to work in a small, well-established, profitable and secure company, set for growth? Want to work remotely within the UK? My client, a leader in the world of document automation, is looking for a senior backend engineer with expert Go knowledge to help build reliable, scalable systems that process millions of documents for their expanding customer base. They embrace the use of AI as part of the development process and will encourage you to make the most of it. You have a foundation in backend engineering and are aware of customer needs and have an opinion of how users experience your work. You think of yourself as a full stack engineer with product instincts. The tech stack comprises Go, PostgreSQL, Kubernetes and GCP/AWS, Svelte and Typescript. Requirements 10+ years engineering experience 2+ years Go in production Experience in successfully using AI agents as part of the development process and a desire to do more with it Track record of successfully working remotely Open to join an on-call rota once you're settled The team likes to get together every 4-6 weeks for 2 days at a time around the South East of England. So ability to travel (ideally by car) is crucial. Travel expense and accommodation costs are covered. You need to already be located in the UK with no requirement for sponsorship.

Overview At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. Responsibilities As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Qualifications Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience What to expect First 30 days Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams First 90 days Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback One Year Outlook Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

Overview At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. Responsibilities As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Qualifications Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience What to expect First 30 days Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams First 90 days Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback One Year Outlook Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

The Role We are looking for a Senior Staff Software Engineer to help shape and scale our Agentic layer at tem. This role combines deep hands-on engineering with strategic technical ownership and organisational influence. You will build the foundations that make AI agents production-ready at tem: the core runtime and tooling, the integration interfaces to our systems, and the engineering standards that let teams ship agentic capabilities safely, reliably, and repeatedly. You will work end-to-end from early pilots to production roll-outs, partnering closely across engineering, product, data, and domain teams to translate real workflows into durable agent-powered systems. This role requires strong cross-team influence, the ability to align technical design with product and business outcomes, and the judgment to balance rapid delivery with long-term system integrity. Responsibilities Ship flagship agentic capabilities: Deliver high-impact agentic workflows end-to-end, from discovery through production roll-out, with clear success metrics and fast iteration loops. Build and operate production-grade agent systems: Design reliable agentic systems that behave predictably under real-world constraints, including latency, cost, data quality, and failure modes, with strong patterns for state management, idempotency, and safe recovery. Create shared foundations for agent delivery: Develop the core primitives that enable teams to build agents consistently (runtime patterns, tool interfaces, context management, shared libraries) while avoiding one-off implementations. Establish a pragmatic Agent Development Life Cycle (ADLC): Implement evaluations, guardrails, tracing, monitoring, and release processes so agents can be measured, debugged, and improved continuously. Integrate ML and LLM components into production workflows: Work with ML/Data teams to productionise models and LLM capabilities with clear contracts, versioning, observability, and safe degradation patterns. Maintain clear domain boundaries as adoption scales: Define shared semantics for agent tools and data access, preventing domain drift while enabling teams to move quickly. Collaborate with Platform on infrastructure and developer tooling: Adopt and extend existing CI/CD, DevEx, and observability systems, contributing back where agentic workloads introduce new requirements. Success measures 3 months: Ship first flagship agentic workflow to production with defined KPI, runbook/on-call ownership, and baseline telemetry (success rate, latency, cost). 6 months: Ship additional workflows or expansions and implement lightweight ADLC: evals + guardrails + monitored rollouts + rollback. 12 months: Prove repeatable capability: 2+ product teams shipping on shared foundations, faster time-to-prod for new agents, and reliability/cost targets consistently met. Requirements Must-Haves: Architectural depth: Proven ability to design and evolve complex, stateful distributed systems spanning APIs, event-driven architectures, data systems, and agentic applications - where domain logic is the primary source of complexity. Proven patterns for high-throughput performance and scaling architecture to support hundreds of thousands of customers, while preventing domain drift. Proven experience building AI agents in production, not just demos, with a clear understanding of current best practices (agent architectures, tool calling, RAG where appropriate, prompt and context engineering). Ability to run AI/agentic systems reliably in production with observability, incident readiness, and cost controls. Deep experience with: AWS serverless architecture (Lambda, API Gateway, Event Bridge, Step Functions) Event-driven systems and asynchronous workflows Strong coding skills: deep hands-on experience with a variety of coding languages, and comfortable with a tech-agnostic approach. Familiarity with Python is a must-have. Agent quality discipline: hands-on experience with evaluations (offline and online), regression testing, safety guardrails, and monitoring for reliability, cost, and drift. Strong backend and distributed-systems fundamentals: APIs, asynchronous workflows, state management, idempotency, retries, and failure recovery in high-stakes workflows. Product & business alignment: Demonstrated ability to connect technical decisions to business outcomes and customer experience. First-principles problem solving: Ability to reason from fundamentals (constraints, incentives, data and system behaviour) to design solutions in complex, high-stakes domains. Desirable: Experience building internal "paved paths" for agent development (shared libraries, templates, tool interfaces, DX improvements) adopted by multiple teams. Experience with agent tooling and orchestration frameworks (e.g., LangGraph, LangChain) and modern evaluation stacks. Practical experience with retrieval systems (vector databases, semantic search, chunking strategies, data contracts for trustworthy context). Exposure to model operations (multi-provider routing, hosted inference, fine-tuning). Experience in regulated or high-correctness domains (energy, fintech, govtech), including auditability and safe degradation patterns. Familiarity with workflow orchestration and real-time systems (e.g. pricing engines, complex event-driven workflows). Benefits & Perks: Competitive salary - our current band for this role is £129,500 or equivalent in local currency. We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 Mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Engineering Managers (60 Mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interviews with the Team (2 x 90 Mins). You'll meet with potential peers in this session and will discuss technical topics and experiences. Culture-Add Interview with Stakeholders (45 Mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.

About Euphoric Euphoric builds AI-first employee benefits administration software for the world's largest and most prestigious employers. Born out of Peppy Health - a fast-growing, category-defining Series B startup - we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3-5 trillion on benefits every year. It's their second-largest cost after payroll - yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it's been almost completely overlooked by AI-first startups. Incumbents - including one U.S. heavyweight with $2B+ in annual revenue - are constrained by archaic tech stacks and can't move fast enough to innovate. And this isn't just a massive market - it's genuine "tech for good." Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We're a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role We're looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world's first lovable, AI-native benefits platform. You'll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you'll do: Build AI-first features end-to-end: You'll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack: You'll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling: You'll help push the boundary of what's feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster. Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace. Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference. Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills. Be a team player: Sometimes you'll be iterating on ML pipelines; other times you'll be refining a frontend component or fixing a tricky bug. We need someone who's excited about the full product journey and moving together as one. Skills & experience Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organizations. Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine). Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams. Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for We're a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: Thrive in fast-paced, feedback-rich environments Take your work seriously, but not yourself Be proactive, playful, and deeply curious Want to build something that matters Be willing to "do what it takes" What you'll get Salary between £90k - £110k dependent on experience Remote-first setup with optional shared work space pass and hubs in London Apple devices and the best AI tooling Private healthcare via Vitality 3% employer pension contribution (min 3% employee contribution) Meaningful early-stage share opportunities 25 days holiday per year, plus bank holidays Career rocket fuel - real growth, real ownership, real impact Ready to join? Hit "apply" and tell us why.