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- Tasks: Architect and deliver next-gen AI systems while collaborating with cross-functional teams.
- Company: Join Newpage Solutions, a leading digital health innovation company.
- Benefits: Enjoy competitive pay, a supportive culture, and opportunities for growth.
- Why this job: Make a real impact in healthcare by developing transformative AI technologies.
- Qualifications: 2-5 years in software development, with experience in AI/ML systems.
- Other info: Be part of a people-first culture that values creativity and inclusivity.
The predicted salary is between 30000 - 50000 £ per year.
We’re seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems.
Location: Bristol, Hybrid | Type: Full-time
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.
Your Mission
You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives.
What You’ll Do
- Develop AI Applications & Agentic Systems — Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations.
- Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases.
- Build multi-modal workflows using text, image, voice and video.
- Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost and latency.
- Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture.
AI Assisted Development, Context Engineering & Innovation
- Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability.
- Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams.
- Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure.
- Build POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.
What You Bring
- 2-5 years of total experience in software development, with at least 2 years in AI/ML systems engineering or Generative AI.
- Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents.
- A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost.
- Proven track record developing and deploying GenAI/LLM-based systems in production.
- Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques.
- End-to-end implementation experience using vector databases and retrieval pipelines.
- Can balance rapid prototyping with long-term maintainability.
- Excel at working independently while collaborating effectively across teams.
- Stay ahead of the curve on new AI models, frameworks and best practices.
- Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical discipline.
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.
AI Engineer in Bristol employer: Newpage
Contact Detail:
Newpage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Bristol
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or even local tech events. You never know who might be looking for an AI Engineer just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and LLMs. This is your chance to demonstrate your technical prowess and creativity to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI frameworks and tools. Be ready to discuss your experience with coding assistants and how you've implemented AI solutions in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission to innovate in digital health.
We think you need these skills to ace AI Engineer in Bristol
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with Generative AI and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention specific frameworks and tools you’ve used, like LangChain or GitHub Copilot. We love seeing concrete examples of your work and how you’ve tackled challenges in AI.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Newpage Solutions!
How to prepare for a job interview at Newpage
✨Know Your AI Tools
Familiarise yourself with the specific AI frameworks and tools mentioned in the job description, like LangChain and GitHub Copilot. Be ready to discuss your hands-on experience with these technologies and how you've used them to solve real-world problems.
✨Showcase Your Projects
Prepare to talk about your previous projects involving Generative AI and LLMs. Highlight your role in developing and deploying these systems, focusing on the challenges you faced and how you overcame them. Concrete examples will demonstrate your expertise.
✨Understand Context Engineering
Brush up on context engineering and prompt construction techniques. Be prepared to explain how you optimise accuracy and latency in AI applications. This shows that you not only understand the theory but can apply it practically.
✨Emphasise Collaboration Skills
Since this role involves working with cross-functional teams, be ready to discuss your collaboration experiences. Share examples of how you've effectively communicated and worked with others to drive innovation and achieve project goals.
