Senior AI Engineer (Full Stack)

Senior AI Engineer (Full Stack)

Design, evaluate, and operate AI systems built on foundation models, translating model behavior into production‑ready applications that deliver measurable business impact.

Reports to the Senior Director of AI Operations and Commercial. Team: Data & AI, Cambridge. Role is on‑site.

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 constraints.
• Build and operate data pipelines for retrieval, evaluation, and fine‑tuning workflows.
• Establish evaluation, monitoring, and guardrails to ensure performance, quality, and safety.

Qualifications

• Strong software engineering skills, primarily in TypeScript and Python with backend and API development experience.
• Expertise in GenAI systems: RAG, prompt engineering, LLM integration, and agentic workflows.
• Cloud and infrastructure knowledge: 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 focusing on reliability, scalability, and performance.

Preferred Experience

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

Benefits

Competitive health care program, paid time off, and a comprehensive benefits package that adds value beyond the job.

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