AI Engineer (RAG + KnowledgeGraph)
Summary
Design and develop Agentic AI applications using LLMs, Neo4j, Knowledge Graphs, and GraphRAG in Python on a 6-month remote contract.
I'm looking for an experienced Agentic AI Engineer to join a pioneering team building next-generation AI solutions.
You'll work on cutting-edge projects involving LLMs, Neo4j, Knowledge Graphs, GraphRAG, and AI Agents, helping unlock greater context, reasoning, and automation from their data.
Key Responsibilities:
Details:
You'll work on cutting-edge projects involving LLMs, Neo4j, Knowledge Graphs, GraphRAG, and AI Agents, helping unlock greater context, reasoning, and automation from their data.
Key Responsibilities:
- Design and develop Agentic AI applications and workflows
- Build and optimise Knowledge Graphs using Neo4j
- Develop GraphRAG and semantic search solutions
- Integrate LLMs with enterprise data sources
- Work closely with engineering and data teams to deliver production-ready AI systems
- Strong Python development experience
- Hands-on experience with Neo4j and Knowledge Graphs
- Experience with LLMs, RAG, or GraphRAG architectures
- Understanding of AI agents and autonomous workflows
- Cloud experience (AWS, Azure, or GCP)
- LangGraph, LangChain, CrewAI, AutoGen, or similar frameworks
- Experience deploying GenAI solutions into production environments
Details:
- Outside IR35
- Fully Remote
- 6 month contract
- Upto £850p/d