AI Platform Engineer

Ai-powered

London, UK

1 day ago

Apply on www.apply4u.co.uk

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

£200,000.0

Working hours

Regular working hours

Job source

www.apply4u.co.uk

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services User Authentication Microsoft Azure Distributed Systems Python (Programming Language) PostgreSQL Redis Software Engineering TypeScript Data Logging

+15 more

ReactJS Large Language Models Multi-Agent Systems Prompt Engineering Caching Backend Fastapi Event Driven Architecture AI Platforms Kubernetes Information Technology Low Latency Front End Software Development Api Design Docker

Job description

Job DescriptionAI 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

Requirements

research, markets and commercial teams Production reliability and scalability of the wider AI platform What we’re looking forYou’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.