Artificial Intelligence Engineer

Tech Talent Partners; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Tech Talent Partners is partnered with a fast-growing Series A AI company in London, building software for complex knowledge work. They seek a Senior AI Engineer to own the agentic systems at the heart of the product and ship reliable outputs.

You'll work with a small, senior team on production-grade systems involving Python, LLMs, agent workflows, retrieval, and evaluation, collaborating closely with product and customers to solve real problems.

Qualifications

• Strong Python/software engineering experience.
• Shipped LLM, agent or retrieval-based products into production.
• Hands-on experience with agents, RAG/retrieval, search and evals.
• Strong product instincts and ownership.
• Experience in a fast-moving startup or demanding environment.

Responsibilities

• Own the agentic systems at the heart of the product.
• Build production systems capable of researching and reasoning over large data.
• Develop and maintain LLM agents and agent workflows.
• Oversee retrieval, search, document understanding, and evaluation.
• Collaborate with product and customers to solve real problems.

Skills

Python

LLMs

Agent frameworks

Production systems

Software engineering

Tools

OpenSearch

Postgres

RabbitMQ

Job description

London - 4 days per week in the office

Summary

I’m working with a fast-growing Series A AI company building software for complex, high-value knowledge work. They’ve found strong product-market fit and are now expanding a small, high-calibre engineering team in London. I'm working with the founding team and have hired several engineers for them already - excited to share more details if you'd like to apply!

The Role

They’re looking for a Senior AI Engineer to take ownership of the agentic systems at the heart of the product. This is very much applied AI: building production systems that can research, reason across large volumes of information and produce reliable, evidence-backed outputs.

You’ll work across:

• LLM agents and agent workflows
• Retrieval, search and document understanding
• Evaluation frameworks and AI reliability
• Context engineering and tool use
• Taking prototypes into production
• Working closely with product and customers to solve real problems

The team

The team is deliberately small and senior, so you’ll have plenty of influence over architecture, product direction and how the AI stack develops.

The tech stack

Current technologies include Python, LLMs, agent frameworks, OpenSearch, FastAPI, Postgres and RabbitMQ. They’re much more interested in what you’ve actually built and shipped than AI theory or experimentation in isolation.

What They’re Looking For

Ideally, you’ll have:

• Strong Python/software engineering experience
• Shipped LLM, agent or retrieval-based products into production
• Hands-on experience with agents, RAG/retrieval, search and evals
• Strong product instincts and a high level of ownership
• Experience in a fast-moving startup or similarly demanding environment