Artificial Intelligence Engineer

Knowledge Graph & GraphRAG Lead | GenAI

Location: London | UK (hybrid) |

Type: Permanent or contract-to-perm

Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps.

ROLE PROFILE:

• Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance).
• Deliver hybrid retrieval (graph traversal + embeddings [+ rerank]) with measured uplift.
• Expose secure APIs/tools for LLMs/agents; enforce access controls, rate-limits, auditability.
• Embed evals & observability; ship via CI/CD.

Must-have

• Shipped knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ).
• Delivered GraphRAG with evidence it beats vector-only.
• Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB).
• Cloud delivery (AWS/Azure/GCP) with basic IaC/CI/CD and governance.

Nice-to-have

• Text-to-Cypher/SPARQL with safety filters and small eval sets.
• MCP-style tool contracts for safe agent access.
• Streaming/ELT at scale (Kafka/Databricks/PySpark).