(Summary generated by AI based on the full job description)
The project concerns building and operating a scalable Knowledge Graph platform enabling AI-driven retrieval and reasoning with LLMs. Key stack includes LPG/RDF (e.g. Cypher/Gremlin, Neo4j, JanusGraph, SPARQL, Stardog/Blazegraph) and GCP (GKE, Cloud Run, Dataflow, BigQuery). Main responsibilities cover graph data and ontology design, development of batch and streaming ingestion pipelines, ensuring HA, security and observability, query and cost optimization, LLM integration for RAG/GraphRAG workflows, and defining engineering standards.

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