Forward Deployed Engineer

Forward Deployed Engineer Location: Hybrid(Bristol) | Type: Full-Time/Permanent About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be a ‘Great Place to Work®’ certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives. Your Mission We're looking for Forward Deployed Engineers who treat AI as the medium they build in, not a tool they're still getting used to. You'll sit with clients and product leaders, turn vague problems into something concrete and ship working software end-to-end - no waiting for a polished backlog, no PM in the middle, no handoff to a separate platform team. You shape the idea, build it and put it into production yourself. This is a hands-on, individual-contributor role for engineers working at the sharp edge of AI development - fluent in Claude Code, Cursor, agents, eval harnesses, MCP, and modern TypeScript and Python. We want people who are curious by nature, who like figuring things out in the open and who want to grow the business as much as they grow themselves. What You'll Do Discovery Work directly with business and clinical leaders to turn loose ideas into buildable solutionsKnow what to build by the end of a conversation, and have a working prototype by the end of the weekDemo live, reframe problems out loud and make the call yourself rather than waiting to be toldLead POCs, innovation sprints and internal experiments that test new AI techniquesBuild Build modular backends in Python or TypeScript using clean architecture, OOP, SOLID and DDDShip full-stack apps, APIs, agents and workflows with tools like Next.js, React, FastAPI, Fastify, FastMCP and HonoArchitect production-grade agentic applications with LangGraph, AutoGen, Claude Agent SDK, OpenAI Assistants or your own orchestration layerIntegrate frontier and self-hosted LLMs (Claude, GPT, Gemini, open-weight models) via MCP and custom connectorsApply RAG where it genuinely earns its place - vector databases, hybrid retrieval, BM25 and similarity searchWork across relational, document, key-value and graph databases as the problem demandsDesign prompt and context engineering that balances accuracy, repeatability, cost and latencyUse AI-assisted development - Claude Code, Copilot, Cursor, Codex - through proper structured workflows, not ad hoc promptingShip and Own Build the infrastructure, write the evals, connect the MCP servers, deploy the agents, harden it for real usersDeploy to AWS, Azure, Cloudflare or Vercel via Docker, Kubernetes or serverlessTreat evaluation as a first-class discipline - know where AI tooling helps & where it still falls shortBring proper engineering practice: TDD, secrets management, security testing, structured logging, tracing, CI/CDOwn what you build end-to-end, including keeping it runningWork with others on system design, agentic patterns and AI engineering practice What You Bring 3+ years building production applications with AI or agentic approaches - full-stack apps, agents, workflows, MCPsReal hands-on experience with agents, not just prompting models - wiring tools to models for multi-step executionActive, structured use of AI-assisted development tools (Claude Code, Cursor, Copilot)Python or TypeScript, with OOP, SOLID, 12-factor and microservices experienceEnd-to-end experience with vector databases, retrieval pipelines and evaluation harnessesCloud-native deployment – AWS/Azure, Cloudflare/Vercel, with Docker, Kubernetes & GitHub ActionsA genuine no-compromise attitude to clean code, testing, security, observability and costA solid understanding of how LLMs actually behave, where they break, and how to tune for accuracy, latency and costClear written communication and the confidence to reframe a problem out loudSomething to show for it - GitHub, a portfolio, side projects, indie tools, open-source workA builder's mindset and a real appetite for ambiguous, high-impact problemsA Bachelor's in Computer Science, Machine Learning or a related fieldBonus Points Public writing, talks or threads about building with AIMLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker)Streaming or batch pipeline experience (Spark, Airflow, Beam, Glue)Healthcare or life sciences exposureAWS Professional or other relevant certifications What We Offer At Newpage, we’re building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer: A people-first culture - Supportive peers, open communication and a strong sense of belongingSmart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challengesBalance that lasts - We respect your time and support a healthy integration of work and lifeRoom to grow - Opportunities for learning, leadership and career development, shaped around youMeaningful rewards - Competitive compensation that recognises both contribution and potential Ready to Apply? Let’s build the future of health together. Apply below or reach out to: danielle.field@Newpage.io