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Knowledge Graph Data Engineer at Bespoke Technologies. . Location: Reston, VA.  . . . BT-473 – Knowledge Graph Data Engineer. . Location: Reston, VA. . .  . . **Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**. .  . .  . . We are seeking a highly experienced and motivated Knowledge Graph Data Engineer to build the data and retrieval foundation for a Graph RAG application. The system combines a property graph, vector search, and database queries with a LangGraph agent. You will help turn information from multiple sources into reliable graph data and make it accessible through retrieval APIs and MCP tools.. .  . . Role Description:. . . Build Python pipelines to ingest, clean, chunk, enrich, and index structured and unstructured data.. . Model entities and relationships in a property graph, preserving provenance and links to source material.. . Develop entity extraction and resolution workflows that connect information across sources.. . Build embedding pipelines and maintain vector indexes for semantic search.. . Implement hybrid retrieval that combines vector search, keyword search, graph traversal, and database queries.. . Develop and integrate MCP servers and tools that expose vector search capabilities to a LangGraph agent.. . Integrate the Oracle MCP server so the agent can query relevant database data.. . Apply graph algorithms to identify connections and improve retrieval.. . Evaluate graph quality, retrieval relevance, answer grounding, and pipeline reliability.. . Collaborate with application engineers and stakeholders to turn use cases into graph models, retrieval workflows, and agent tools.. . Required qualifications. . Strong computer science fundamentals, including data structures, algorithms, software design, and testing.. . Proficiency in Python and experience building maintainable data pipelines or backend services.. . Working knowledge of cloud fundamentals, including compute, storage, networking, security, and deployment.. . Hands-on experience with property graph modeling, queries and traversals, and graph algorithms.. . Experience with embeddings, vector indexes, and semantic or hybrid search.. . Understanding of retrieval-augmented generation and how to evaluate the quality of retrieved context.. . Ability to work with inconsistent or incomplete data and communicate technical decisions clearly.. . .  . . Preferred qualifications:. . . Experience with Oracle Cloud Infrastructure (OCI), Oracle Database, or Oracle Property Graph.. . Experience building agents with LangGraph or a similar framework.. . Experience developing or integrating Model Context Protocol (MCP) servers and tools.. . Familiarity with entity resolution, information extraction, or knowledge graph construction.. . Experience with CI/CD, containers, infrastructure as code, and production monitoring.. . .  . . Required Credentials: . . . 10+ years of experience relevant to this position.. . Bachelor’s Degree in engineering, Math or computer science. Master’s degree preferred..