Senior AI Engineer — LLM Apps & Production Systems

Abcam; Cambourne; On-site; GBP 90,000 - 130,000; Full time

Job summary

Abcam, a Danaher operating company, is hiring a Senior AI Engineer (Full Stack) to design, build, and operate production-grade AI systems based on foundation models. You will own end-to-end LLM-powered applications, including RAG workflows, with a focus on reliability, scalability, and safety.

This on-site role sits within the Data & AI Team in Cambridge and reports to the Senior Director AI Operations. You will work on deploying and monitoring AI services, integrating external model APIs, and

Qualifications

• Strong software engineering in TypeScript and Python with API development.
• Expertise in GenAI: RAG, prompt engineering, LLM integration, and agentic workflows.
• Cloud and infrastructure knowledge: deployment, containerization, CI/CD.
• Understanding of machine learning fundamentals, model behavior, evaluation and testing.
• Design, deploy, and operate production‑grade AI systems with focus on reliability, scalability.

Responsibilities

• 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 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.

Skills

TypeScript

Python

API development

GenAI systems

RAG

LLM integration

Agentic workflows

Cloud deployment

Containerization

CI/CD

ML fundamentals

Reliability & scalability

Tools

LangGraph

LangChain

PocketFlow

nx

lerna

Job description

Abcam, a Danaher operating company, is hiring a Senior AI Engineer (Full Stack) to design, build, and operate production-grade AI systems based on foundation models. You will own end-to-end LLM-powered applications, including RAG workflows, with a focus on reliability, scalability, and safety.

This on-site role sits within the Data & AI Team in Cambridge and reports to the Senior Director AI Operations. You will work on deploying and monitoring AI services, integrating external model APIs, and