At a Glance
- Tasks: Build transformative AI solutions and tackle real-world health challenges.
- Company: Join a global leader in digital health innovation with a people-first culture.
- Benefits: Enjoy competitive pay, flexible work, and opportunities for personal growth.
- Other info: Collaborate with talented peers in a dynamic, inclusive environment.
- Why this job: Make a real impact in healthcare while working with cutting-edge AI technologies.
- Qualifications: 3+ years in full-stack development with strong Python or TypeScript skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 are hiring Forward Deployed Engineers who treat AI as the substrate of how software gets built. You will sit close to clients and product leaders, reframe vague problems into something concrete, and ship working software end-to-end.
What You’ll Do
- Problem / Opportunity Discovery
- Sit with a business or clinical leader and reframe an idea or problem into something concrete and buildable.
- Know what to build by the end of the conversation; have a working prototype to react to by the end of the week.
- Partner closely with product, design, and client stakeholders to translate ambiguous ideas into software that ships.
- Demo live without a slide deck. Reframe problems out loud.
- Lead POCs, innovation sprints, and internal research experiments to validate emerging AI techniques.
- Build (fast) with AI
- When the brief is clear, head down and produce.
- Build modular backends in Python or TypeScript aligned with clean architecture, OOP, SOLID, and domain-driven design.
- Create full stack applications, APIs, agents, workflows, and similar systems using frameworks such as Next.js, React, Fast API, Fastify, FastMCP, and Hono.
- Architect and ship production-grade agentic applications using Lang Graph, AutoGen, Claude Agent SDK, OpenAI Assistants, or your own orchestration layer.
- Integrate frontier and self-hosted LLMs (Claude, GPT, Gemini, open-weight models) with tools, data, and external systems through MCP and custom connectors.
- Apply RAG techniques where they actually help: vector databases, hybrid retrieval with Elasticsearch or Solr, and BM25 + similarity search.
- Work across relational, document, key-value, and graph stores as the problem demands.
- Design prompt and context engineering frameworks that optimize accuracy, repeatability, cost, and latency.
- Use AI-assisted development tools through structured workflows, native instructions, templates, and sub-agents with discipline and review.
- Fine-tune or adapt models where the problem genuinely calls for it.
- Test, Deploy, Productionize
- Spin up the infra, write the evals, wire up the MCP servers, deploy the agents, and harden the bits that survive contact with real users.
- Deploy on AWS, Azure, Cloudflare, or Vercel using containerization or serverless chosen for fit, not preference.
- Treat evals as a first-class discipline: hands-on harnesses, not theoretical frameworks.
- Apply engineering practices that hold up in production: TDD, secrets management and rotation, SAST/DAST, structured logging, metrics, tracing, and automated CI/CD.
- Own what you build end-to-end, including the infrastructure and operations that keep it running.
- Mentor others on system design, agentic patterns, and AI engineering best practices.
What You Bring
- 3+ years relevant experience building production applications using AI / agentic development approaches.
- Hands-on experience with agents, not just prompted models.
- Active, structured use of AI-assisted development tools with demonstrable workflows.
- Strong Python or TypeScript, with OOP, SOLID, 12-factor application development, and microservice architecture.
- End-to-end implementation experience with vector databases, retrieval pipelines, and eval harnesses.
- Cloud-native deployment experience across at least one of AWS, Azure, Cloudflare, or Vercel.
- A no-compromise attitude on clean code, TDD, security, observability, scalability, performance, and cost.
- A deep working understanding of how LLMs behave and where they break.
- Clear writing and a willingness to reframe problems in conversation.
- A real, recent trail of built things: GitHub, a portfolio, side projects, indie tools, or OSS contributions.
- A founder's mindset and genuine appetite for ambiguous, high-impact technical challenges.
- Bachelor's or Master's in Computer Science, Machine Learning, or a related technical discipline.
Bonus Skills / Experience
- Public writing, talks, or threads about building with AI.
- MLOps and model serving experience.
- Streaming and batch ingestion pipelines.
- Healthcare or life sciences domain exposure.
- AWS Professional certification or other relevant industry certifications.
What 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: shubhi.tiwari@newpage.io
AI Fullstack Engineer-FDE in Bristol employer: Newpage Solutions
Newpage Solutions is an exceptional employer that champions a people-first culture, fostering creativity and inclusivity while empowering employees to tackle meaningful health challenges through innovative AI technologies. With a strong emphasis on professional growth, collaborative teamwork, and a healthy work-life balance, we provide our Forward Deployed Engineers with the opportunity to make a tangible impact in the healthcare sector while enjoying competitive compensation and a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Fullstack Engineer-FDE in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and full-stack development. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Fullstack Engineer-FDE in Bristol
Some tips for your application 🫡
Be Yourself:When writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to show your passion for AI and software development. Authenticity goes a long way in making a memorable impression.
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the role of Forward Deployed Engineer. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit into our mission.
Showcase Your Projects:Include links to your GitHub or any relevant projects that showcase your work with AI and full-stack development. We love seeing what you've built, so make it easy for us to check out your creations and understand your capabilities.
Keep It Clear and Concise:While we appreciate creativity, clarity is key! Make sure your application is well-structured and easy to read. Avoid jargon unless it’s necessary, and focus on communicating your ideas effectively. Remember, we want to understand your thought process!
How to prepare for a job interview at Newpage Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, TypeScript, and frameworks such as Next.js and Fast API. Brush up on your knowledge of AI-assisted development tools like Claude Code and GitHub Copilot, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've reframed vague problems into concrete solutions in past projects. Think of specific examples where you’ve taken a client’s ambiguous idea and turned it into a working prototype quickly. This will demonstrate your ability to think on your feet and deliver results.
✨Demonstrate Your Building Experience
Be ready to talk about your hands-on experience with building full-stack applications and deploying them in production. Highlight any projects where you’ve owned the entire process from ideation to deployment, especially if they involved AI or agentic development approaches.
✨Engage in Conversation
During the interview, don’t just wait for questions; engage in a dialogue. Reframe problems out loud and share your thought process. This shows that you’re not only technically skilled but also a great communicator who can collaborate effectively with clients and team members.
