> Markdown version of [/jobs/ext/3944957-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3944957-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Harnham - **Location:** London, UK - **Salary:** £100,000.0 - £150,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, AI Evaluation, Artificial Intelligence, Automated Storage and Retrieval Systems, Cloud Computing, Databases, Cursor, Python (Programming Language), Retrieval-Augmented Generation, Large Language Models, Claude Code, Multi-Agent Systems, AI Coding Agents, Backend, Agentic-AI, AI Platforms, Machine Learning Operations, Virtual Agents - **Published:** October 27, 2026 - **Apply:** https://www.reed.co.uk/jobs/ai-engineer/57494818 ## About the Role * Strong commercial Python engineering experience * Production LLM or ML systems experience * Expertise with agent orchestration frameworks * Strong RAG, vector database and retrieval evaluation knowledge * Experience with graph-based retrieval or graph data modelling * Familiarity with AI coding tools such as Cursor or Claude Code ## Description London (Hybrid, 3 days in office) | Competitive Salary + Bonus + Benefits Join a growing AI engineering team building production-grade LLM systems used to solve complex knowledge and workflow challenges. This is a hands-on opportunity to work on agentic AI, RAG and evaluation frameworks in a highly technical, fast-moving environment. The Company They are building an AI platform that helps organisations automate complex workflows and make better decisions using proprietary data, external sources and advanced AI technologies. Backed by an established business, they combine startup agility with strong commercial foundations. The Role * Build multi-step AI agent workflows using LangGraph, LangChain or similar frameworks * Develop production RAG pipelines, embeddings and retrieval systems * Design AI evaluation frameworks and testing infrastructure * Optimise model performance, reliability, latency and cost * Build backend services in Python and contribute to cloud-based systems * Mentor engineers and influence technical direction at Lead level