AI Engineer - GraphRAG Specialist

Location: Hybrid (London preferred) Contract: 6–12 months (Outside IR35) Rate: £500–£700/day (DOE) Looking for an experienced AI Engineer to design and implement Graph-based Retrieval-Augmented Generation (GraphRAG) pipelines for enterprise-scale AI solutions. This is a hands-on role working on cutting-edge projects in knowledge graph construction, multi-hop reasoning, and hybrid retrieval systems. Key Responsibilities • Build and optimize GraphRAG pipelines integrating LLMs with knowledge graphs. • Develop graph-based retrieval strategies and combine them with vector search for hybrid RAG. • Implement graph traversal algorithms and entity-relation extraction from unstructured data. • Collaborate with data scientists and engineers to deploy scalable AI solutions. Required Skills • Strong experience with GraphRAG or Graph-based RAG architectures. • Proficiency in Python and frameworks like LangChain, Semantic Kernel, or similar. • Hands-on with graph databases (Neo4j, TigerGraph) and vector DBs (Pinecone, Weaviate, FAISS). • Knowledge of LLMs, prompt engineering, and retrieval optimization. • Familiarity with knowledge graph construction, entity linking, and graph algorithms. Must have full right to work and live in the UK to be considered for this role.