AI Platform Engineer

AI Platform Engineer - Agent Infrastructure & Product APIs

£200,000 base | London

I’m working with a highly sophisticated financial markets business that is building a new generation of AI-powered products for institutional investors.

They’re looking for an exceptional AI Platform Engineer to help turn LLM agents, quantitative models and complex datasets into reliable, production-grade products and workflows.

This is not a research or prompt-engineering position.

The focus is on building the infrastructure, APIs and backend systems that allow AI agents and models to operate reliably in production.

What you’ll own

• Agent runtime infrastructure and orchestration
• Backend services and APIs connecting models, data and applications
• LLM and model endpoint integrations
• Authentication, permissions and security
• Logging, monitoring and observability
• Usage, latency, cost and error tracking
• Review workflows, audit trails and human-in-the-loop systems
• Internal AI tools used across research, markets and commercial teams
• Production reliability and scalability of the wider AI platform

What we’re looking for

You’ll ideally come from a strong backend/platform engineering background, with significant experience building production systems in Python.

Key experience includes:

• Excellent Python engineering
• Strong API design — ideally FastAPI or similar
• Experience integrating LLMs / model APIs
• Agent frameworks, tool calling or model orchestration
• AWS, GCP or Azure
• Docker / Kubernetes
• Observability, logging and production monitoring
• Distributed or event-driven systems
• PostgreSQL, Redis, messaging or caching technologies
• Strong software engineering fundamentals

You don’t need to be a frontend engineer, but enough React / TypeScript experience to contribute to internal tooling would be valuable.

Experience within financial markets, quantitative finance, hedge funds or systematic trading would be highly relevant, although exceptional engineers from outside finance will absolutely be considered.

Candidates with strong academic backgrounds, including PhDs in Computer Science, AI, Mathematics, Physics or related disciplines, are particularly interesting.

This is a chance to work very close to the intersection of AI, software engineering and quantitative finance, building systems that are actively used rather than experimental prototypes.

Base salary up to £200,000 depending on experience.

If your background sits somewhere between senior Python backend engineering, distributed systems and production AI/LLM infrastructure, I’d be very interested in speaking.