Senior AI Engineer (Full Stack)
Reports to Senior Director AI Operations and Commercial. Part of the Data & AI Team located in Cambridge; 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.
Benefits
Abcam offers a broad array of competitive benefit programs, including health care and paid time off. More details are available through the Danaher Benefits Information portal.
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