Newpage Solutions
Forward Deployed Engineer
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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 solutions
- Know what to build by the end of a conversation, and have a working prototype by the end of the week
- Demo live, reframe problems out loud and make the call yourself rather than waiting to be told
- Lead POCs, innovation sprints and internal experiments that test new AI techniques
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Build
- Build modular backends in Python or TypeScript using clean architecture, OOP, SOLID and DDD
- Ship full-stack apps, APIs, agents and workflows with tools like Next.js, React, FastAPI, Fastify, FastMCP and Hono
- Architect production-grade agentic applications with LangGraph, AutoGen, Claude Agent SDK, OpenAI Assistants or your own orchestration layer
- Integrate frontier and self-hosted LLMs (Claude, GPT, Gemini, open-weight models) via MCP and custom connectors
- Apply RAG where it genuinely earns its place - vector databases, hybrid retrieval, BM25 and similarity search
- Work across relational, document, key-value and graph databases as the problem demands
- Design prompt and context engineering that balances accuracy, repeatability, cost and latency
- Use AI-assisted development - Claude Code, Copilot, Cursor, Codex - through proper structured workflows, not ad hoc prompting
Ship and Own
- Build the infrastructure, write the evals, connect the MCP servers, deploy the agents, harden it for real users
- Deploy to AWS, Azure, Cloudflare or Vercel via Docker, Kubernetes or serverless
- Treat evaluation as a first-class discipline - know where AI tooling helps & where it still falls short
- Bring proper engineering practice: TDD, secrets management, security testing, structured logging, tracing, CI/CD
- Own what you build end-to-end, including keeping it running
- Work 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, MCPs
- Real hands-on experience with agents, not just prompting models - wiring tools to models for multi-step execution
- Active, structured use of AI-assisted development tools (Claude Code, Cursor, Copilot)
- Python or TypeScript, with OOP, SOLID, 12-factor and microservices experience
- End-to-end experience with vector databases, retrieval pipelines and evaluation harnesses
- Cloud-native deployment – AWS/Azure, Cloudflare/Vercel, with Docker, Kubernetes & GitHub Actions
- A genuine no-compromise attitude to clean code, testing, security, observability and cost
- A solid understanding of how LLMs actually behave, where they break, and how to tune for accuracy, latency and cost
- Clear written communication and the confidence to reframe a problem out loud
- Something to show for it - GitHub, a portfolio, side projects, indie tools, open-source work
- A builder's mindset and a real appetite for ambiguous, high-impact problems
- A Bachelor's in Computer Science, Machine Learning or a related field
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Bonus Points
- Public writing, talks or threads about building with AI
- MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker)
- Streaming or batch pipeline experience (Spark, Airflow, Beam, Glue)
- Healthcare or life sciences exposure
- AWS 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 belonging
- Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges
- Balance that lasts - We respect your time and support a healthy integration of work and life
- Room to grow - Opportunities for learning, leadership and career development, shaped around you
- Meaningful 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:
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