27 jobs found

Requisition # CSQ327R148 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. Impact You Will Have Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What We Look For Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Senior Forward Deployed Engineer - Full stack London, United Kingdom Requisition # CSQ327R148 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Extensive experience in data engineering, data platforms & analytics, or software engineering Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Equal Employment Opportunity Statement At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission critical challenges. By embedding in real world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprises are raising the bar. AI initiatives must deliver business value-not just promise potential. That means taking cutting edge LLM capabilities and turning them into resilient, secure, and scalable software. As a Senior Forward Deployed Software Engineer (FDSE), you act as the CTO of the build-owning everything from backend services to LLM pipelines and front end integrations. You partner with customers in the field to design, implement, and deliver solution ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation-delivering systems that are battle tested in production and scalable across industries. Who You Are: You are a systems minded, AI native engineer who ships real software. You own the full stack-and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product minded CTO, balancing creativity with pragmatism to deliver impact. You embed deeply with customer teams, diagnose root problems, and architect AI powered workflows that run at scale. You don't just debug code-you debug systems, context, and customer pain points. You will: Build solution ready LLM enabled applications that span backend logic, data orchestration, and front end UI Operate in the field, working side by side with customers to adapt, deploy, and iterate in live environments Codify reusable assets-libraries, prompts, scaffolds-to accelerate future engagements Shape developer experience by sharing feedback with platform and product teams What You'll Do: Deliver Production - readysolution in agile end to end sprints Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers Influence platform: inform product strategy through field tested insights and extensible code What Success Looks Like: Production grade delivery: Your solution builds consistently convert to scaled deployments in production environments Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives Velocity and precision: You move fast without breaking things-shaping resilient, secure systems in high stakes contexts Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one Qualifications Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision making, or problem solving. This may include using AI powered tools, automating workflows, analyzing AI driven insights, or exploring AI's potential impact on the function or industry Relevant Experience: 10+ years of software engineering, including 2+ years building systems in customer facing or embedded roles System architecture: Proven ability to design and implement AI native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org Product sensibility: Prioritize for user value, MVP iteration, and long term scale DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra as code Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters Preferred Qualifications: Experience integrating AI into SaaS platforms like ServiceNow or Salesforce Track record of production deployments in secure, regulated enterprise environments Contributions to dev experience tooling, frameworks, or reusable AI scaffolds Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

Staff Full Stack (TypeScript/React) Engineer Could you be our next Staff Full Stack (TypeScript/React) Engineer? Reapit is the original end-to-end business technology provider for estate agencies of all sizes. We've been helping sales and lettings agents build relationships and grow their businesses for more than 25 years. Our technology empowers property professionals across Europe, the Middle East, Australia, and New Zealand to work with buyers, sellers, tenants, and landlords to deliver a dream home experience. Worldwide, over 100,000 agents across more than 15,000 branches use Reapit to run their businesses, manage properties, collect rent, engage clients, and provide outstanding customer service every time. What you'll be doing Reporting to the Director of Engineering, you'll operate as a highly senior technically hands on engineer, embedded into a squad and frequently working Forward Deployed - direct with clients to understand, shape and ship solutions to their workflows. You'll be expected to own outcomes end-to-end across the stack. Architecting, building and shipping complex, high-performance Full Stack TypeScript applications across React front-ends and with some BFF Node back-end work, setting the technical bar for the squad and owning delivery of substantive feature sets end-to-end. Operating as a Forward Deployed Engineer - sitting shoulder-to-shoulder with clients to elicit requirements, shape solutions, prototype in the room and translate messy real-world workflows into production grade software. Owning each feature's solution end-to-end - partnering with Business Analysts who capture high-level problems and workflows, then driving product thinking, scoping, trade-offs and delivery yourself. Leveraging Claude Code and advanced agentic workflows at pace - orchestrating sub agents, managing context, running parallel workstreams and embedding AI native engineering patterns into everyday delivery. Interpreting our design system to craft beautiful, highly interactive UX workflows from low fidelity inputs - you don't wait for polished Figma to produce polished UI. Inputting into architecture and technical direction in collaboration with Principal Engineers - making considered, well-reasoned decisions on patterns, frameworks, state management, API design and performance. Championing a high quality engineering culture - test coverage, peer review, CI/CD discipline via GitHub Actions, secure coding, accessibility (WCAG) and performance - aligned to the Reapit Global Technology Strategy, Reapit Connect, Elements, Design System and agentic tooling. Mentoring and up levelling engineers around you through pairing, PR review, architectural guidance and practical coaching on AI assisted development. Who we're looking for At Reapit, we prioritise hiring individuals who share our values and possess the right attitudes and behaviours for success. Whilst all the listed qualities are desirable, don't worry if you don't meet all of them, we'd still like to hear from you. A proven senior-to-staff-level Full Stack Engineer with deep, current expertise in TypeScript, React and Node - you can reason about and build across the entire stack, from database and API design through to DOM and UX performance. Authority in React and the modern front-end stack - component-driven architecture, design systems, advanced state management (Redux Toolkit, Zustand, TanStack Query or Apollo), modern toolchains (Vite, ESBuild) and package managers (pnpm/yarn/npm). Strong Node.js back-end skills - RESTful and GraphQL API design, integration patterns, relational and NoSQL data modelling, and a practical understanding of deploying into modern cloud and serverless environments (AWS and CloudFlare preferred). Exceptional communication - genuinely client-ready. You've operated as a Forward Deployed Engineer or in comparable client-facing roles, and you can run a discovery session, push back politely on a bad requirement, and turn a whiteboard conversation into shippable code. A strong product brain. You're comfortable operating without a traditional Product Owner - partnering with BAs on high-level problems, then making sensible product trade-offs, prioritising ruthlessly and owning the solution through to delivery. A keen eye for design. You can interpret a design system and produce beautiful, intuitive, highly interactive UX workflows without needing high fidelity mock-ups handed to you. A proven track record with Claude Code and advanced agentic workflows - you can evidence shipping real work via multi-agent patterns, orchestrating sub agents, managing context, defining custom commands/skills and scaling AI-assisted delivery across a team. This is non negotiable. Rigorous engineering standards - fluency with Git-based workflows, trunk-based development, CI/CD (ideally GitHub Actions), comprehensive testing (Jest, React Testing Library, Playwright), and a genuine commitment to accessibility, performance and secure-by-default coding. Technical leadership without the title - a track record of lifting teams through pairing, mentoring, PR review and example, rather than through line management. A pragmatic, outcome oriented mindset - biased to shipping, comfortable with ambiguity, and able to make sensible calls on scope, technical debt and sequencing under time pressure. What your impact and success looks like As a Full Stack Engineer we expect your success and impact over the stages of your contract with us to look something like this: Within 1 month Fully onboarded onto the Reapit stack - Reapit Connect, Elements, the Design System and other tooling and the relevant product codebases - with a working local development environment and first pull requests merged. Established trusted working relationships with the VP of Engineering, Principal Engineers, Business Analysts, Design and the relevant squad, plus initial exposure to the client(s) you'll be working with directly. Configured Claude Code and our approved agentic tooling to our internal standards and started running meaningful work through multi-agent patterns - not just using an assistant, but orchestrating it. Built a clear, independent view of the target problem space, the existing architecture and the immediate delivery priorities - and surfaced any early risks or recommendations. Within 3 months Owning end-to-end delivery of substantive feature sets and client-facing workflows - taking from BA-level problem statement through to production, with you driving the product trade offs as well as the engineering. Running productive, confidence inspiring client sessions in a Forward Deployed capacity - eliciting real workflow requirements, prototyping in session, and translating outcomes into shippable work. Meaningfully influenced our wider engineering practice - patterns you've introduced for agentic delivery, Claude Code usage, front end architecture or UX craft are being adopted by other squads, not just yours. Shipped user facing UX that is visibly on brand, accessible and polished - interpreted from the design system with minimal input from Design. Recognised as a go to technical voice within the squad - inputting into architectural decisions alongside Principal Engineers, raising the quality bar on PRs, and unblocking complex front end and back end problems. Left a well documented, well tested, maintainable footprint - so that whether the contract is extended or handed over, the work continues to deliver value without you in the room. What's in it for you? We operate a Flexible Working Policy and there is no expectation around in person attendance, beyond occasional ad hoc project meetings in our Solihull or London offices. You can expect an industry competitive day rate, available on request. Don't tick all the boxes? Neither do we We care about our industry and want it to become a more inclusive and diverse place to work. So, we're driven by hiring not only by experience and relevance for the role but by sharing our values and the right attitudes and behaviours for success. We are committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all. We feel we have an empowering environment where everyone is supported and respected, and we want you to feel this too. We welcome new ideas, thinking and approaches, whilst listening to all our employees.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We're building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We're proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We're an in-office company, driven by a shared commitment to excellence and velocity. Our values - Just Get It Done, Invent What Customers Want, Winner's Mindset, and The Polymath Principle - shape how we work and grow as a team. About the Team Over the past few years, development of LLMs has evolved at a rapid pace. It's not enough for our customers to just "set it and forget it" when it comes to AI software. Truly successful AI Agents require hands on execution, rigorous iteration, and deep technical delivery to reach enterprise grade performance. We're creating an Agent Builder Org: a specialized technical delivery team responsible for end to end execution of AI agent builds. Agent Builders own the hands on work required to deliver best in class agents-writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Builders are technical and customer facing: you'll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution. About the Role As a Customer Engineer, Agent Builder, you will be responsible for end to end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise quality agents-partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer's business. You'll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon's agent building platform based on real customer needs. This role is ideal for someone who thrives in fast moving environments, enjoys shipping customer facing technical work, and can balance hands on execution with structured thinking. In this role, you will Own end to end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration. Write and maintain key agent building artifacts (e.g., AOPs), and configure agent behavior to optimize quality, reliability, and business outcomes. Configure and validate guardrails to ensure safe, compliant, and predictable agent performance across real world scenarios. Set up, test, and validate customer integrations (e.g., ticketing systems), including building tools and workflows needed for successful deployments. Interface with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against timelines. Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements. Partner closely with APMs, Engineering, Design, and Go To Market teams to deliver consistent, repeatable, best in class agent builds. Your background looks something like this Have 5+ years of relevant experience in a technical customer facing role (e.g., solutions engineering, forward deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar). Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end to end. Experience delivering production grade customer solutions that require structured execution, testing/validation, and iteration. Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery. Comfort working in fast moving, ambiguous environments where you shape solutions as much as you implement them. Even better if you have Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.). Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations. A Computer Science, Engineering, or Math degree, or equivalent technical experience. Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap. Benefits We proudly offer the following benefits for our full time employees: Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Daily lunches and snacks in the office to keep you at your best These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Overview Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Responsibilities Your Future Team The Principal Forward Deployed Architect (FDA) is a trusted transformation architect who combines enterprise-grade technical design with consulting-grade business acumen to shape how strategic customers adopt Atlassian as their operating system for work. This is not a traditional Solutions Engineer role, nor a hands on keyboard engineering role. The FDA is the architect in the room - the person who turns a CIO's ambiguous "modernize how we work" into a credible, phased, AI native architecture and the business transformation plan that makes it stick across HR, Finance, Marketing, PMO, Operations, and Engineering. You will be embedded with 1-3 strategic accounts at a time, typically for 3-9 months each, owning both the technical truth and the business transformation narrative end to end. What You'll Do Business Transformation & Expansion Design and deliver the customer's end to end System of Work - expanding Atlassian beyond engineering into every business function. Lead workflow transformation including operating model design, CoE structures, governance, and platform team design. Expand into HR, Finance, Marketing, PMO, and Operations through cross functional workflow design. Drive AI adoption through practical use cases embedded into daily work. Own and evolve the System of Work blueprint based on outcomes and usage data. Architecture & Technical Design Own the target state architecture for strategic enterprise customers across the full Atlassian System of Work - Plans, Goals, Work, Knowledge, Code, and AI. Design across the full stack: multi tenant SaaS, identity (SAML/OIDC/SCIM), data residency, integrations (REST/GraphQL/event driven), Forge & Connect, Marketplace, and migration paths. Co design AI native workflows - Rovo agents, knowledge grounding, Teamwork Graph enrichment, and human in the loop patterns. Ship durable artifacts - reference architectures, ADRs, Forge prototypes, Terraform/IaC modules, Compass scorecards, and automation rule libraries. Orchestration & Influence Lead executive engagement and cross functional delivery - translating business outcomes into capability roadmaps and phased plans. Orchestrate execution across SE, SA, TAS/FDE, Professional Services, Partners, and customer stakeholders. Close the loop with Product - convert field patterns into prioritised product and platform requirements. Mentor Senior Solution Engineers, Solution Architects, and Partner Architects. Represent Atlassian externally through conference talks, reference architectures, and Developer Community contributions. Qualifications Your background Deep experience in forward deployed, customer engineering, professional services, or consulting roles - owning end to end platform transformations at Fortune 1000, large regulated, or public sector customers (at a SaaS vendor, major SI, or Atlassian Solution Partner). Experience designing on Forge, the Atlassian Marketplace ecosystem, or leading large Atlassian Cloud migrations. Executive presence and exceptional written communication; able to produce memos, ADRs, or design docs that stand up to executive review. Strong workflow and systems thinking - ability to map complex processes and design scalable ways of working across business functions. Comfort with enterprise architecture concepts: cloud native design, integration patterns, identity, security, and data. Ability to prototype, debug, and read code in at least one of: Java/Kotlin, TypeScript/Node, Python. Cross functional credibility with IT, PMO, HR, Finance, and senior business stakeholders. Willingness to travel 25-50% and operate across customer time zones. What will set you apart: AI/LLM architecture experience - RAG, knowledge graphs, agent design, AI governance. Domain depth in one or more of: DevOps / Platform Engineering, ITSM/ESM, Agile at Scale, FSI, Public Sector, Healthcare. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Mission We're looking for a hands on Senior Applied AI Engineer to build the AI agents that transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the advanced workflows that power next generation simulation and design tools used by industry leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges. Your mission is to build advanced Agentic workflows that drive real value for our customers across the Engineering industry. Core Responsibilities You will work with our product teams and customers to build and deploy agentic functionality directly into our platform, as well as deeply integrate our capabilities into how our customers operate. You are an expert in building and orchestrating AI Agents. You know how to chain LLMs, tools, and data to solve complex reasoning tasks. You aggressively dogfood our tools to build production solutions, and you provide direct feedback to improve the Developer Experience. Collaborative: You excel at partnering with domain experts (e.g. Physicists) to understand their mental models and codify them into agents. Core Responsibilities You will be the tip of the spear for our Agentic capabilities, proving what is possible and helping us productise it. Be "Customer Zero": Aggressively dogfood our internal platform. If the Developer Experience hurts, you are the first to flag it and help fix it. Build Advanced Agentic Workflows: Design and implement complex agents that leverage our surrogates and simulation tools to solve specific customer problems. Drive Product Strategy: Use your direct experience building solutions to identify common patterns across customers. You will help decide what functionality belongs in the platform vs. what stays in the application layer. Rigorous Evals & Tracing: You don't just ship "vibes." You implement systematic evaluation loops and deep tracing to prove that your agents are reliable, robust, and improving over time. The Tech Stack Languages: Python (Primary), Go or TypeScript (Secondary). Agentic Infrastructure: Agentic Frameworks, Vector DBs Observability: OTel, Agent Tracing / Evaluations tooling Who You Are A Builder First: You judge your success by shipping working agents that solve real problems in production, not just by writing design docs. Strategic & Broad: You don't just solve the problem in front of you; you look for the "generalisable proof-point" that informs the broader platform strategy. Empirical: You value systematic measurement over intuition. You believe that if you can't trace it and eval it, you can't ship it. Agentic Native: You have a deep spike in Agentic Systems. You are comfortable working with domain experts to translate their knowledge into deterministic tools and workflows. Qualifications 3+ years of experience in Applied AI, ML Engineering, or Software Engineering. Proven experience building and deploying AI Agents or complex LLM workflows in production. Demonstrated ability to collaborate with Domain Experts to solve complex, domain specific problems. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

London About Indicium AI Indicium AI was Anthropic's first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We are deploying production AI systems into the world's most complex organisations across Financial Services, Energy, and Healthcare. We exist to make AI a genuine competitive advantage for our clients, not in a presentation but in production. The Role This is a technical leadership role at the centre of our Forward Deployed AI Engineering practice. Reporting to the CTO, you will lead a team of Forward Deployed AI Engineers who embed directly with our most strategic clients to ship production AI systems that solve real business problems. You will own how we show up in the market - from the quality of individual engagements to the patterns and playbooks that let the practice scale. This means managing hands-on technical delivery in enterprise, shaping architecture on complex engagements, developing vertical fluency across the team, and partnering with Sales to shape the pipeline. It is a player-coach role: your primary impact will come from the people you hire, the standards you set, and the culture you create - but you will stay close enough to the work to review architectures, unblock production issues, and pair with your team when it matters. You will work directly with clients at the most senior level, with Anthropic teams, and with Indicium AI leadership to define the direction of our AI engineering practice. The best FDE leaders we have seen do not just run a team - they define what good looks like, and they build the organisation that delivers it consistently. What You Will Do Lead, hire, and develop a high-performing team of Forward Deployed AI Engineers - setting a high bar for technical talent, client instincts, and delivery quality Own the technical and operational bar for AI engineering engagements - reviewing SOWs, shaping architecture on complex deployments, and ensuring your team ships production-grade systems Build the playbooks and repeatable patterns that turn one-off successes into a scalable, long-term customer engagements Manage hands-on technical delivery in enterprise - you are comfortable moving fluidly between strategic conversations with C-suite stakeholders and debugging sessions with your engineers Develop vertical fluency across the team in Financial Services, Energy, and Healthcare - ensuring credibility with domain-expert clients Partner with Sales to shape pipeline, scope engagements, and identify expansion opportunities within existing accounts Work alongside Anthropic field teams on joint engagements - representing Indicium AI at the highest level and influencing partner product direction through field insights Provide technical mentorship, conduct regular 1:1s, and invest in the career growth of each team member Drive knowledge sharing and raise the bar for the practice through codified patterns, internal training, and a culture of engineering excellence What We Are Looking For 8+ years in technical roles with at least 3 years leading engineering or delivery teams - in forward deployed engineering, technical consulting, applied AI, or solutions architecture Production experience building AI applications including agentic systems, multi-agent orchestration, advanced RAG, evaluation frameworks, and deployment at scale in regulated enterprise environments A track record of building teams from early stage - hiring, developing, and retaining strong engineers, not just inheriting an existing organisation Experience working directly with enterprise clients on technical implementations, including comfort navigating complex organisational dynamics, procurement, compliance, and resistant stakeholders Executive presence - you can hold your own in a C-suite conversation and translate technical complexity into clear narratives for diverse audiences Strong Python proficiency and genuine comfort with production code - you are a builder at heart Vertical depth in at least one of Financial Services, Energy, or Healthcare High agency and comfort with ambiguity - you have built something from zero before and know what it takes Nice to Have Former technical founder or CTO - you have built products and teams under commercial pressure and client scrutiny Experience with MCP server development, tool ecosystem integration, and enterprise agent deployment patterns Experience working alongside or within partner ecosystems such as Anthropic, or AWS at a senior level External presence - writing, speaking, or thought leadership in the AI Engineering space Experience in a Palantir, Anthropic, DeepMind, or similar forward-deployed engineering model

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.

About the Role Forward Deployed Engineers own Callosum's customer engagements end to end. You will work directly with customer engineering teams to understand their AI workloads, design and run rigorous evaluations against their production pipelines, integrate optimised workflows into their systems, and make sure the results hold in production. At Callosum, FDEs are the technical bridge between what customers run and what we build. What you learn shapes the research and platform roadmap. The evaluations you run are how we prove the technology in production. As an early member of the team, you will help build the methodology, tooling, and engagement practices the function runs on. The role is engineering-led: you will employ technical judgment to recognise what kind of system a problem needs and prototype it. You will work closely with the engineers designing new intelligent systems, with the platform team that serves them, and directly with senior technical stakeholders on the customer side. We run a flat Member of Technical Staff structure. Responsibility and scope grow with what you demonstrate, including leadership of the FDE function as the team scales. What You'll Build Customer engagement from first workload scoping through evaluation, integration, and production deployment Design and run rigorous evaluations on customers' production workloads: set success criteria, instrument the comparison, present results to their engineering teams Develop deep technical understanding of customer systems (retrieval pipelines, agentic workflows, code intelligence stacks) and design optimised Callosum workflows Integrate Callosum workflows into customer environments and support them through to stable production Work with our research and platform teams to turn what you learn into general product capability Build the team's shared methodology: evaluation harnesses, integration runbooks, and engagement standards What You Bring Strong software engineering background with experience in production ML/LLM systems, distributed systems, or large-scale infrastructure Rigour in evaluation or benchmarking work Experience working directly with external engineering teams, whether as a forward deployed engineer, solutions architect, technical consultant, or comparable customer-facing role A bias for action, comfort with ambiguity and a strong sense of ownership. What Sets You Apart Experience with LLM serving infrastructure, agent orchestration, or retrieval systems Familiarity with novel accelerator platforms Experience at an early-stage company or in a founding engineer role What We Offer Competitive Salary, determined by skills and experience Equity & Ownership Private healthcare We offer Visa sponsorship and relocation benefits to hire the best in the world We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.

HR Systems Manager required to take ownership of an established Workday environment within a global organisation in Edinburgh, helping to shape the future of HR technology and driving greater value, efficiency and automation across the business. The Opportunity This is an opportunity to lead the next phase of a mature Workday journey within a large SaaS organisation where HR technology plays a critical role in supporting employees, managers and the wider business. Having successfully implemented Workday, the platform is now firmly embedded across the organisation. The foundations are in place, adoption is strong, and the business is seeing the benefits, however there is a clear opportunity to unlock even more value from the platform through optimisation, automation and better utilisation of existing and emerging capabilities. As the recognised Workday lead across the organisation, you'll take ownership of the platform roadmap, helping to shape how it evolves in line with business priorities. Working closely with stakeholders across HR, Technology and the wider business, you'll identify opportunities to streamline processes, improve user experience and ensure the organisation continues to maximise the return on its Workday investment. This role offers an interesting balance of strategic ownership and operational leadership. You'll be looking ahead at future functionality, evaluating opportunities for improvement and influencing long-term direction, while also ensuring the platform remains effective, reliable and aligned with day-to-day business needs. Leading a small team and working alongside specialist external partners, you'll play a key role in connecting people, processes and technology to deliver meaningful business outcomes. The Company Our client is a global technology-led organisation operating at scale, delivering data-driven products and platforms to a diverse international customer base. The organisation has a collaborative, forward-thinking culture and is recognised for its strong focus on product innovation, advanced analytics and continuous investment in digital capabilities. Technology is central to how the organisation operates, and there is a well-established engineering and product culture that values quality, scalability and continuous improvement. Teams work with modern tooling and cloud-based architectures and have a strong emphasis on building and evolving platforms. This role sits within the HR function that is well respected across the wider business. The team is known for being collaborative, pragmatic and delivery-focused, with strong relationships across key functions. There is a genuine openness to ideas and a shared commitment to using digital platforms more effectively to drive efficiency, improve processes and enhance the employee experience. Why this role? Own the roadmap and future direction of a globally deployed Workday environment. Drive automation and process improvement initiatives that create measurable business value. Become the key Workday stakeholder across HR, Technology and the wider organisation. Help unlock underutilised functionality and maximise the return on an established platform investment. Work closely with senior stakeholders and influence decisions that impact employees globally. Lead a capable and collaborative team while partnering with trusted external vendors and support providers. Play a key role in shaping the future of HR technology within a complex international business. Who you are An experienced HR Systems, HRIS or HR Technology leader with strong Workday expertise. Proven in owning platform roadmaps and driving continuous improvement within enterprise environments. Experienced in identifying opportunities to simplify processes, increase automation and improve user experience. Comfortable operating across both HR and Technology functions, building strong relationships with a wide range of stakeholders. Skilled in managing third-party vendors and support partners to deliver successful outcomes. Able to balance strategic thinking with practical delivery in a fast-moving environment. A strong communicator who can translate technical capabilities into clear business benefits. The Offer The salary is circa £80k, with a great bonus and benefits package. The role offers flexible hybrid working, (typically 2 days per week) in a modern Edinburgh city office, close to public transport. This is a unique opportunity to take ownership of a business-critical platform, influence senior stakeholders and help drive the next phase of HR digital transformation. If this sounds interesting, please apply or reach out to Murray Simpson. Cathcart Technology is acting as an Employment Agency in relation to this vacancy.

Introduction The customer-focused Senior Forward Deployed Engineer will be the technical bridge between Optimizely's innovative AI products and our enterprise customers. They will leverage deep technical expertise and communication skills to design, build, and deploy AI-driven solutions that seamlessly integrate with Optimizely's platforms, enabling customers to harness the power of AI. Job Responsibilities Customer Consultation & Solution Design: Collaborate with customers to understand AI use cases, data needs, and integrations, assisting in translating objectives into technical plans leveraging Optimizely AI (Opal). Lead Technical Deployments: Participate in the configuration and deployment of Optimizely AI (Opal), interacting with Optimizely products and customer tech stacks via public APIs. Develop Custom Tools & Integrations: Support in the design and build of custom applications or connectors for AI workflows, especially Retrieval Augmented Generation (RAG), using Optimizely APIs and pre-trained AI models. Technical Troubleshooting & Optimization: Perform troubleshooting, debugging, and performance optimization for deployed AI solutions to ensure stability and efficiency. Technical Training & Enablement: Support workshops and knowledge transfer for customer teams to effectively use, manage, and extend Optimizely AI (Opal). Cross-Functional Collaboration: Collaborate effectively with Optimizely's Product, Engineering, and Customer Success teams to provide feedback and ensure alignment. Best Practices & Advocacy: Apply AI deployment best practices, understanding customer needs and aligning with Optimizely's product capabilities. Knowledge and Experience Experience: 3+ years in a customer-facing technical role (e.g., Solutions Architect, Implementation Engineer, FDE) with a focus on software deployment and integration. Retrieval Augmented Generation (RAG): Familiarity with RAG concepts and experience with building tools/applications for RAG workflows (e.g., interacting with vector databases, embedding services, prompt engineering). Prompting Proficiency: Good understanding of prompting principles and best practices for optimizing AI model output. API & System Interaction: Proficiency in interacting with external systems via public APIs, including CRUD operations. Business Analysis: Experience in analyzing business requirements and translating them into technical solutions. Problem-Solving: Strong analytical and problem-solving skills for diagnosing and resolving complex technical issues. Communication: Strong verbal and written communication skills to articulate complex technical concepts to diverse audiences. Customer Focus: Customer-centric mindset, with ability to build rapport and contribute to customer success. Adaptability: Ability to quickly adapt to new technologies, product updates, and customer environments. Preferred Skills Data Integration: Proficiency in data integration, transformation (ETL), and data governance techniques for AI solution consumption. Optimizely Product Knowledge: Experience with Optimizely products (CMS, CMP, Web Experimentation, Feature Experimentation, ODP). AI Deployment Expertise: Familiarity with AI solution deployment and integration in enterprise environments, including understanding data flow and system integration. Consulting Experience: Exposure to customer-facing engineering, solutions consulting, or technical pre-sales roles. Education Bachelor's or Master's degree in Computer Science, Engineering, or related technical field. Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We're building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We're proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We're an in-office company, driven by a shared commitment to excellence and velocity. Our values - Just Get It Done, Invent What Customers Want, Winner's Mindset, and The Polymath Principle - shape how we work and grow as a team. About the Team Over the past few years, development of LLMs has evolved at a rapid pace. It's not enough for our customers to just "set it and forget it" when it comes to AI software. Truly successful AI Agents require hands on execution, rigorous iteration, and deep technical delivery to reach enterprise grade performance. We're creating an Agent Builder Org: a specialized technical delivery team responsible for end to end execution of AI agent builds. Agent Builders own the hands on work required to deliver best in class agents-writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Builders are technical and customer facing: you'll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution. About the Role As a Customer Engineer, Agent Builder, you will be responsible for end to end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise quality agents-partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer's business. You'll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon's agent building platform based on real customer needs. This role is ideal for someone who thrives in fast moving environments, enjoys shipping customer facing technical work, and can balance hands on execution with structured thinking. In this role, you will Own end to end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration. Write and maintain key agent building artifacts (e.g., AOPs), and configure agent behavior to optimize quality, reliability, and business outcomes. Configure and validate guardrails to ensure safe, compliant, and predictable agent performance across real world scenarios. Set up, test, and validate customer integrations (e.g., ticketing systems), including building tools and workflows needed for successful deployments. Interface with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against timelines. Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements. Partner closely with APMs, Engineering, Design, and Go To Market teams to deliver consistent, repeatable, best in class agent builds. Your background looks something like this Have 5+ years of relevant experience in a technical customer facing role (e.g., solutions engineering, forward deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar). Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end to end. Experience delivering production grade customer solutions that require structured execution, testing/validation, and iteration. Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery. Comfort working in fast moving, ambiguous environments where you shape solutions as much as you implement them. Even better if you have Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.). Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations. A Computer Science, Engineering, or Math degree, or equivalent technical experience. Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap. Benefits We proudly offer the following benefits for our full time employees: Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Daily lunches and snacks in the office to keep you at your best These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Software Engineer Indra Park Air work with customers all over the globe to make air travel safer. For over 50 years we've been one of the leading producers of VHF and UHF radios, providing the vital link between the ground and the air for passenger, freight and military aircraft. The reasons behind our success are simple and won't change. First, we work harder for the customer than the rest. We take time to truly know their needs and create the right product for them. We train them how to use it, we won't let our equipment be deployed until every detail is right, and then we provide the best care and service for all of our products as long as they are still used. At Indra Park Air we stay the best by looking to the future - to new requirements and new possibilities. A radio remains a radio but we never stop thinking about how we can improve it, how we make it and how it can offer more to our customers. It's no wonder that we are one of only 2% of companies worldwide to hold PLATINUM Level in Investors in People Accreditation. Due to an increase in workload, we are looking to grow our software team to support across several high value awards as well as to support us with our next generation designs. As the Software Engineer you will play a vital role in conducting software engineering activities in the design, development, test and documentation of company products and their manufacturing test systems. What you will do with a moderate level of guidance from a Senior Engineer: Carry out software design and development to meet project requirements, to include Detailed design, Software code development, Unit test and debug, Support the activities of the Test & Acceptance team on Integration and test, Test plan, development and execution and test report writing and technical documentation Participate in software design and code reviews Apply knowledge and skills, with some guidance, to tactical company requirements Put forward own ideas within the boundaries of current thinking Provide informal guidance to junior staff Support the department and department manager on related departmental activities Quality and Ethics: Demonstrate flexibility and a positive attitude to changing priorities or direction Demonstrate excellent team working skills working collaboratively in own department, across the company and with external customers, suppliers and agencies Comply with company and departmental procedures Adopt a quality approach and foster a quality culture Contribute to process improvements You will have a 1st or 2:1 class degree (or equivalent) in a relevant technical subject and good A Level (or equivalent) grade results in science subjects with proven Maths competence. This role would suit an individual who has 2-3 years of industry experience. Experience of the following: C, or C++ programming languages Practical experience, understanding or appreciation of some of the following: Proven experience in a design engineering position Embedded software design and implementation Software development in a Windows or Linux environment Basic understanding of network technologies You will have the following personal skills and abilities: Good Interpersonal skills Effectively communicate to peers and team leads Apply a logical approach to solving problems, weighing up the merits of alternative solutions Organise own work with guidance Highly self-motivated, positive and flexible Hands on, can-do approach Customer orientated Ability to demonstrate a keen interest in engineering such as working on home projects/internships etc An interest in learning DSP and/or FPGA fundamentals Enhanced Holiday - 25 days plus bank holidays Enhanced Pension Scheme - up to 8% company contribution Buying and Selling Holidays Long service and retirement awards Private healthcare Flu vaccinations Cycle to work scheme Subsidised staff canteen Free parking Training Continuous Learning Employee Assistance Programme and Wellbeing Services

Job Description Responsibilities Customer Delivery Lead: end to end solution development for multiple high stakes customer deployments; manage technical strategy, design quality, and roadmaps for Agentic AI rollouts at enterprise scale. Primary technical point of contact from integration design through to post deployment optimisation. Translate ambiguous requirements into structured engineering plans with clear milestones and success criteria. Customise and extend platform components-APIs, tooling, and bespoke logic. Architecture & Standards: Architect robust, scalable, and compliant Agentic AI solutions across industries. Lead multi agent orchestration, RAG pipelines, and LLM/SLM integration design. Champion observability, telemetry, and auditable AI standards. Build and maintain reusable frameworks and asset libraries. Team & Product: Help build and guide cross functional Forward Deployed Engineering teams; coach senior/junior engineers, and cultivate a culture of excellence, collaboration, and innovation. Provide structured product feedback to Platform Engineering on feature gaps and pain points. Contribute to playbooks, best practices, and technical blog posts. Qualifications 8-12+ years engineering experience. 3+ years in customer facing or FDE roles. Proven track record deploying AI/ML or data intensive applications in production. Strong full stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL. DevOps proficiency: Docker, Kubernetes, CI/CD, and major cloud platforms. Expertise in LLMs, prompt engineering, vector DBs, RAG pipelines, and Agentic orchestration frameworks. Agentic / integrations: MCP, Salesforce/SAP/Other. Excellent communication with both technical and executive stakeholders. Mentorship capability and collaborative team first mindset. BS / MS / PhD in Computer Science, Data Science, or related field. Preferred Qualifications SLM fine tuning and/or distillation experience. Hands on with dedicated Agentic AI platforms (e.g., Agentforce, Copilot Studio). Knowledge of AI compliance requirements: GDPR, EU AI Act, SOC2, HIPAA. Open source or research contributions to LangChain, RAG, or Knowledge Graph communities. Location Preference UK - London Equal Opportunity Statement Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

About the Role As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer specific applications on our Agentic AI platform. Responsibilities Lead the technical solution design and implementation of large scale Agentic and Knowledge AI solutions for key enterprise clients. Act as the primary technical point of contact during solution development and post deployment optimization. Own and execute projects end to end: from integration design to agent workflows and full stack delivery. Customize platform components as needed-integrating new APIs, building reusable tooling, or extending platform logic. Collaborate closely with cross functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master's degree or PhD in Computer Science or Data Science. 4+ years of experience in engineering, with 2+ years in customer facing or field roles. Proven success building and deploying AI/ML or data intensive applications in production. Deep full stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI). Knowledge of SLM Finetuning and Distillation is a big advantage. Experience and knowledge of Agentic development platforms and experience building and delivering enterprise agentic solutions is a huge advantage. Ability to translate ambiguous customer needs into actionable engineering plans. Strong leadership, mentoring, and project ownership abilities. Excellent communication and collaboration across technical and business stakeholders. Location UK - London Equal Opportunity Employer Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir Foundry is an end-to-end platform for data-driven decision-making. We're transforming the way organizations securely integrate their data, so they can then build reliable, critical applications atop that unified foundation. Our customers use Foundry to perform rich analyses that drive core operations within their organizations. They can also build sophisticated, full fledged programs, such as common operating pictures, alert triaging inboxes, and resource allocation planning tools driven by rich ML models. As a Senior Front End Software Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands of users to build the sophisticated applications that power their businesses. You will be architecting and developing interfaces, state management, and access patterns to support data intensive workflows that are both powerful and approachable. You may spend one day interviewing users to better understand their needs and identifying product gaps to improve. The next day, you might find yourself considering that customer context along with signal gathered from other customers in different industries, brainstorming approaches to handling intricate UX needs with your teammates. You'll regularly be faced with sophisticated technical problems, requiring you to scope out the solution design and find an incremental path to shipping new features. As part of this, you will own APIs and schemas that power your frontend code, or work with other backend engineers in developing them together. We're hiring engineers who are passionate about solving real world problems and empowering both developers and end users to work optimally. If you're motivated to develop reliable, performant, and scalable systems, and to design robust APIs and primitives, this role offers the opportunity to make a significant impact on our products and the people who use them. Frontline Foundry Software Engineers may be offered the opportunity to Frontline, an exclusive program unlike any other. This unique, short term assignment involves being embedded with customers, allowing you to work directly with users and gain firsthand insight into how our products are used and the challenges our customers face. Unlike traditional engineering roles, Frontline immerses you in complex, ambiguous problems, empowering you to deliver impactful solutions across some of the world's most important industries and institutions. Some of our most successful products were built on the factory floor, addressing real world problems for the world's most important institutions. These products were developed by some of our most successful product engineers, who began their careers in roles aligned with Frontline responsibilities, gaining a deep understanding of both our technology and our customers. Frontliners operate across a broad spectrum of responsibilities, much like a startup CTO. They work in small teams to own the end to end execution of high stakes projects. This spectrum ranges from discussing architecture and building custom web apps to conducting workshops with users and strategizing with customer executives. No two days are alike, as each day is diverse and impactful. By witnessing how customers engage with Foundry and experiencing these pain points firsthand, you'll gain unique insights that feed directly back into our development process, helping to refine and enhance our products. After your frontline rotation is complete, you will return to your regular role where you can apply the experience and understanding you've gained. Core Responsibilities Leading and mentoring within our community of engineers and building shared frontend tooling to enable teams across Foundry. Architecting and building for high scale data intensive APIs (example). Developing interactive workflow UIs. Building products which aim to make technical concepts accessible for non technical users. Creating low code/no code WYSIWYG tools, which enable application builders within Foundry to build products for their users. Building the user experience for our next generation of pro code tools to enable developers to build on top of Foundry. Engaging with signal directly from our forward deployed engineers and deployment strategists to rapidly evolve our product to meet real world requirements. Technologies We Use Typescript, React, and GQL are central to our frontend development. Blueprint as a re usable front end component library. A combination of open source and internal technologies that suit the problems at hand. Industry standard build tooling, including Webpack, GitHub, and CircleCI. What We Value Passion for improving user workflows and building user interfaces that enable users to tackle their problems, while still maintaining engineering quality. Ability to work collaboratively in teams of technical and non technical individuals and understand how technical decisions impact the people who will use what you're building. Skill and comfort working in a constantly evolving environment with dynamic objectives and iteration with users. Experience brainstorming and iterating with product designers. Experience building high quality software in a fast paced CI/CD development environment. Proven ability to learn continuously, work independently, and make decisions with minimal supervision. Ability to learn new technology and concepts, even without in depth experience. Active UK Security clearance, or eligibility and willingness to obtain a UK Security clearance is beneficial, but not necessary. What We Require 4+ years of frontend software engineering experience. Experience crafting complex user experiences (UX) with a strong intuition for good design and usability. Experience working with design systems such as Blueprint, Material UI, or similar. Strong frontend coding skills used to write clean, effective code, regardless of framework, and existing proficiency in JavaScript and understanding of how web technologies work. Familiarity with data structures, loading patterns, frontend frameworks, and other technical tools and concepts. Proficiency with programming languages such as JavaScript/TypeScript, or similar languages. Strong written and verbal communication skills. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your long term growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.