Principal Full Stack Engineer (Agentic AI)

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Abcam, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

Progress happens together

At Abcam, we believe the scientific community goes further, faster when we go there together. That’s why we work with life scientists to provide biological reagents and solutions that enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases and metabolic disorders. Our talented team of over 1,400 colleagues worldwide is our greatest asset. By applying our expertise and pushing boundaries, together we strive to better serve our customers, strengthen our impact across our industry, and ultimately our positive impact on society.

Learn about the Danaher Business System which makes everything possible.

The Principal Full Stack Engineer (Agentic AI) is responsible for accelerating the development of our Agentic AI platform and applications by; understanding and identifying optimal components to address business need, architecting the solution, guiding and mentoring the team, and ensuring quality, reliability and scalability of the solution.

This position reports to the Senior Director of AI and Data Strategy and is part of the AI and Data Team located in Cambridge, UK, and will be an on-site role.

In this role, you will have the opportunity to:

• Design and lead the delivery of Abcam’s Agentic AI platform and applications, including RAG systems and agent workflows, for use by both internal and external Abcam customers.
• Establish engineering best practices for GenAI/LLM applications, including system design patterns, evaluation approaches, reliability, scalability, and maintainability standards across the AI engineering lifecycle.
• Act as a technical leader by mentoring engineers, influencing architectural direction, and driving the successful delivery and adoption of Agentic AI capabilities.

The essential requirements of the job include:

• Strong software engineering capability, primarily in TypeScript (with Python as an additional benefit) with backend and API development skills.
• Demonstrated ability to design, deploy, and operate production-grade AI systems with focus on reliability, scalability, and performance.
• Expertise in Agentic AI systems: RAG, prompt engineering, LLM integration, MCP, agentic workflows, model evaluation, fine tuning.
• Cloud infrastructure expertise in the deployment of AI apps (AWS preferred).
• Expertise in CI/CD best practice including orchestration, containerisation and testing.
• Strong inter-personal skills and ability to collaborate with cross-functional teams to translate business problems into technical solutions.

It would be a plus if you also possess previous experience in:

• Monorepo technologies (nx, lerna), infrastructure-as-code technologies (eg Terraform), multi application deployment pipelines, frontend development framework (eg React, Angular, Svelte)
• Multi-agent orchestration tooling (LangGraph, LangChain, PocketFlow), evaluation of prompts, agents and pipelines in multi-agent solutions
• Neo4J or a similar knowledge graph database technology

Abcam, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

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