Senior AI Engineer (Full Stack)

Posted 6 Hours Ago
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Cambridge, Cambridgeshire, England, GBR
In-Office
Senior level
Healthtech
The Role
Design, build, and operate end-to-end LLM-powered applications (RAG, agents). Deploy and monitor production AI services, integrate model APIs, manage data pipelines, and implement evaluation, safety, and reliability measures.
Summary Generated by Built In

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.

The essential requirements of the job include:

  • 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.

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

  • LangGraph, LangChain, PocketFlow or other multi-agent orchestration tooling
  • Familiarity with monorepo technologies (nx, lerna) and multi application deployment pipelines

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.

For more information, visit www.danaher.com.

Skills Required

  • 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 focused on reliability, scalability, and performance.
  • Experience with LangGraph, LangChain, PocketFlow or other multi-agent orchestration tooling.
  • Familiarity with monorepo technologies (nx, lerna) and multi-application deployment pipelines.

Danaher Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Danaher Corporation and has not been reviewed or approved by Danaher Corporation.

  • Healthcare Strength Healthcare coverage is described as comprehensive, including medical plan options alongside dental, vision, life, disability, and mental health support. Wellness initiatives and support programs such as an EAP and vaccination or fitness offerings add breadth beyond core insurance.
  • Retirement Support Retirement benefits include a 401(k) plan with employer matching and options such as pre-tax and Roth contributions. Broader financial rewards such as performance bonuses and access to equity or an employee stock purchase plan are also described.
  • Parental & Family Support Parental leave and family-building support are described as available, including maternity and paternity leave and fertility assistance. Childcare and eldercare support are also highlighted as part of the overall package.

Danaher Corporation Insights

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The Company
HQ: Washington , DC
57,802 Employees
Year Founded: 1984

What We Do

Danaher is a global science and technology innovator committed to helping our customers solve complex challenges and improve quality of life around the world. A global network of more than 25 operating companies, we drive meaningful innovation in some of today’s most dynamic industries through our operating companies in four strategic platforms: Life Sciences, Diagnostics, Water Quality and Product Identification. The engine at the heart of our success is the Danaher Business System (DBS), a set of tools that enables continuous improvement around lean, growth and leadership. Through the ingenuity of our people, the power of DBS and the impact of our meaningful technologies, we help realize life’s potential in ourselves and for those we serve.

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