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Job Description
Multi-Regional Context Engineer (RAG / Knowledge Base) Remote in Dallas, TX, US • Posted 1 day ago • Updated 1 day ago Contract W2 12 Months On-site Depends on Experience Fitment Dice Job Match Score™ ✨ Finding the perfect fit... Job Details Skills Knowledge Base Artificial Intelligence Auditing Lifecycle Management Promotions Python RF Telecommunications Vertex Workflow Context Engineer RAG recall@k precision@k Vertex AI Vector Search Pinecone Weaviate OpenSearch Summary W2 Contract Dallas,TX /
Remote Mission:
Design and operate a multi-region Knowledge Base (KB) architecture with regional overlays, strong retrieval accuracy, SME validation workflows, and shared support for both NB and MODS.
Key Responsibilities:
Build and implement KB architecture with base layer and regional overlays Seed KB across 12 regions Develop ingestion pipelines from structured docs to embeddings and retrieval-ready content Implement approval and promotion workflow (draft approved live) Maintain retrieval quality metrics and KB integrity Add MOD-specific overlays
Must-Have Skills:
4 6 years of experience in RAG and vector search systems Experience building multi-tenant and multi-region retrieval architectures Familiarity with Vertex AI Vector Search, Pinecone, Weaviate, and OpenSearch Strong understanding of retrieval metrics such as recall@k, precision@k, and MRR Python and document ingestion pipeline experience
Nice-to-Have Skills:
KB lifecycle management and audit workflows Human-in-the-loop workflows Telecom / RF familiarity Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.