About the role
ATS is currently seeking a highly experienced and motivated Knowledge Graph Data Engineer w/ TS/SCI w/ Polygraph in Bethesda, MD 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.
Salary Range: $210,000 - $260,000