> Markdown version of [/jobs/ext/2301780-artificial-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/2301780-artificial-intelligence-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). --- # Artificial Intelligence Engineer - **Company:** The Wave - **Location:** Greater London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Graph Database, Python (Programming Language), Neo4j, Operational Data Store, Unstructured Data, Flask (Web Framework), Backend, Fastapi, Front End Software Development - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815459498-artificial-intelligence-engineer ## About the Role * Strong Python engineering skills with experience delivering production AI systems (assumed FastAPI/Flask familiarity). * Practical experience working with structured and unstructured data - beyond notebooks and prototypes. * Understanding of RAG, embedding retrieval algorithms, self-refinement patterns and knowledge graph integration. * Familiarity with Neo4j or graph databases and cloud deployment environments. ## Description * Build and ship AI features that transform unstructured operational data into trustworthy, structured knowledge for manufacturers. * Extend and maintain their knowledge graph platform, including adding a time dimension - a core technical challenge. * Design and implement RAG and agentic systems that work reliably in industrial environments. * Own end-to-end delivery: ingestion, embeddings, retrieval, ontology adjustments, deployment and monitoring. * Work closely with a small engineering team (backend, frontend, architecture) to bring AI capabilities into production quickly. * Tackle a 40-item AI backlog and help define how AI is built and scaled inside the organisation. ## Related Videos - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)