AI Platform Engineer

Hiire.co; Greater London; On-site; GBP 180,000 - 220,000; Full time

Job summary

Hiire.co is seeking an exceptional AI Platform Engineer to turn LLM agents, quantitative models and complex datasets into reliable, production-grade products and workflows. The role focuses on building infrastructure, APIs and backend systems for AI agents and models to operate in production.

You will own agent runtime infrastructure, backend services, LLM integrations and security, with emphasis on observability and scalable, low-latency design.

Qualifications

• Backend/platform engineering background with production systems
• Production-grade Python experience required
• Strong API design capabilities (FastAPI preferred)
• Experience integrating LLMs / model APIs
• Agent frameworks / model orchestration knowledge
• Observability, logging and production monitoring
• Distributed or event-driven systems
• Experience with PostgreSQL, Redis, messaging or caching
• Some React/TypeScript experience for internal tooling
• Finance domain experience is a plus

Responsibilities

• Build agent runtime infrastructure and orchestration
• Develop backend services and APIs connecting models, data and apps
• Integrate LLMs and model endpoints
• Implement authentication, permissions and security
• Establish logging, monitoring and observability
• Track usage, latency, cost and errors
• Review workflows, audit trails and human-in-the-loop systems
• Develop internal AI tools used across teams
• Ensure production reliability and scalability of the AI platform

Skills

Backend/platform engineering

Python production systems

API design

LLM integration

Observability & monitoring

Distributed systems

PostgreSQL / Redis

Software engineering fundamentals

React / TypeScript (basic)

Education

PhD in Computer Science / AI / Mathematics / Physics

Tools

FastAPI

PostgreSQL

Redis

Messaging systems

LLM endpoints tooling

Job description

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:

• Strong API design - ideally FastAPI or similar
• Experience integrating LLMs / model APIs
• Agent frameworks, tool calling or model orchestration
• 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.