Senior AI Engineer (Full Stack)
- Cambridge, United Kingdom
Posted yesterday
About the role
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 Senior AI Engineer (Full Stack) is responsible for the design, evaluation, and production operation of systems built on foundation models, translating model behavior into functional, production-ready applications that drive measurable business impact.
This position reports to the Senior Director AI Operations and Commercial and is part of the Data & AI Team located in Cambridge and will be an on-site role.
In This Role, You Will Have The Opportunity To
- Design and deliver end-to-end LLM-powered applications, including RAG systems and agent workflows.
- Transform prototypes into reliable, scalable production services with deployment, monitoring, and failure handling.
- Integrate and operate external model APIs, managing constraints such as latency, cost, and reliability.
- Build and operate data pipelines for retrieval, evaluation, and fine-tuning workflows.
- Establish evaluation, monitoring, and guardrails to ensure measurable performance, quality, and safety.
- Strong software engineering capability, primarily in TypeScript and Python with backend and API development skills.
- Expertise in GenAI systems: RAG, prompt engineering, LLM integration, and agentic workflows.
- Cloud and infrastructure knowledge, including deployment, containerization, and CI/CD practices.
- Understanding of machine learning fundamentals, including model behavior, evaluation and testing.
- Demonstrated ability to design, deploy, and operate production-grade AI systems with focus on reliability, scalability, and performance.
- LangGraph, LangChain, PocketFlow or other multi-agent orchestration tooling
- Familiarity with monorepo technologies (nx, lerna) and multi application deployment pipelines
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.
For more information, visit www.danaher.com.