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.