Applied AI Engineer in London

We’re working with an exciting high-growth AI business that is building technology to transform how organisations research, assess and manage risk.

The company has developed a sophisticated AI-driven platform that combines LLMs, unstructured data and intelligent automation to deliver high-quality insights in a high-stakes environment. With significant growth and increasing demand internationally, they’re now looking for a Senior Applied AI Engineer to help take their AI systems to the next level.

This is a genuinely hands-on engineering role for someone who enjoys taking AI from prototype through to reliable production systems.

You’ll work closely with the Head of Research and Product teams, building and improving production LLM systems that deliver accurate, valuable outcomes for real users.

• Building and improving production LLM-driven systems, including RAG and agentic workflows.
• Developing high-quality, reliable and well-tested Python code.
• Designing and implementing evaluations (evals) that genuinely measure whether AI systems are improving.
• Improving the accuracy, cost and latency of AI systems.
• Working closely with Product to shape and deliver new AI capabilities.
• Working in an environment where AI coding tools and agentic development are heavily embedded into the engineering workflow.

We're looking for a strong software engineer who has moved deeply into Applied AI rather than someone coming purely from an academic or research background.

• 4+ years' experience building production software.
• 2+ years' experience building production LLM applications.
• Strong hands-on experience with Python.
• Experience building RAG systems, LLM applications and/or AI agents.
• Experience designing AI evaluations and measuring the quality of LLM outputs.
• A strong understanding of software engineering principles, testing and production reliability.
• Agentic AI systems.
• Deep learning / traditional machine learning.
• AI coding and agentic development tools such as Claude Code, Codex or similar.

This isn't an academic research position and you won't be expected to train foundation models. We're particularly interested in engineers who have actually shipped AI products into production and understand the challenges that come with reliability, accuracy, cost, latency and real users.

You should be comfortable getting stuck into problems, experimenting quickly, understanding when an AI system isn't performing as expected and then engineering a solution.

Hybrid working – 2 days per week in London.

~ Opportunity to work on genuinely challenging Applied AI problems.

~ Significant influence over the development of the company's AI platform.

~ 1,000 annual professional development budget.

~ Private healthcare.

~ Life insurance.

~ Unlimited holiday.