AI Platform Engineer — Production LLMs for Finance (4D In-Office)

Oliver Bernard; Greater London; On-site; GBP 150,000 - 200,000; Full time

Job summary

Oliver Bernard is recruiting an AI Platform Engineer to own the platform that makes AI work in production. You will handle agent runtime infrastructure, model tooling, and the APIs connecting data, models and user interfaces from a production perspective.

This role sits between research and DevOps, requires hands-on experience with LLM APIs, Python backend engineering, and cloud deployment. Central London, four days a week in the office, with opportunities to shape investment research through

Qualifications

• PhD required or strongly preferred in CS/ML/physics/math or similar.
• Strong Python backend engineering experience.
• Hands-on LLM API and model endpoint integration.
• Cloud deployment, observability and production reliability.
• Frontend ability to build usable interfaces for internal tools.

Responsibilities

• Own agent runtime infrastructure and model/tool orchestration.
• Own APIs between data, models and user interfaces.
• Own auth, permissions, logging, monitoring and audit trails.
• Own usage, cost and error tracking across LLM workflows.
• Develop internal tools for market dailies, consensus summaries and sales-ready content.

Skills

Python backend

LLM API

Cloud deployment

Observability

Education

PhD (CS, ML, Physics, Maths or similar)

Tools

FastAPI

Model endpoints

Job description

Oliver Bernard is recruiting an AI Platform Engineer to own the platform that makes AI work in production. You will handle agent runtime infrastructure, model tooling, and the APIs connecting data, models and user interfaces from a production perspective.

This role sits between research and DevOps, requires hands-on experience with LLM APIs, Python backend engineering, and cloud deployment. Central London, four days a week in the office, with opportunities to shape investment research through