{"schemaVersion":"jobsearcher.job.v1","id":"a264f2c2beb08f2dd8d3b76c","url":"https://jobsearcher.com/jobs/a264f2c2beb08f2dd8d3b76c","canonicalUrl":"https://jobsearcher.com/jobs/a264f2c2beb08f2dd8d3b76c","title":"Data / Context Engineer","description":"Job Title: Data / Context Engineer\n\nLocation: Remote\n\nCompany Overview\nGlint Tech Solutions is a women-owned, global IT staffing and recruiting firm supporting enterprise clients across the USA and Canada.\n\nProject Description\nA leading enterprise client, a multinational telecommunications technology company, is seeking a Data / Context Engineer to play a pivotal role in shaping how knowledge flows across a massive, multi-region operation. This is a high-visibility opportunity to architect and scale a knowledge base (KB) system that will directly power decision-making across 12 regions and beyond. The role sits at the intersection of AI infrastructure, data engineering, and real-world business impact, with contributions visible across a nationwide operation from day one.\n\nKey Responsibilities\n\nSign and implement the multi-regional KB architecture in P1 alongside SA\nSeed the KB across 12 regions during P2 (cohort 1 wk1, cohort 2 wk2, cohort 3 wk3 of July)\nBuild and operate the ingestion pipeline (machine-readable regional standards embeddings retrievable patterns) with sampled human approval gate\nAdd MOD-specific retrievable context as regional overlays during Sep-Oct\nOwn KB integrity checks, retrieval evaluation, and weekly health reporting\n\nMandatory Skills\n\n4-6 years of hands-on RAG / retrieval / vector store engineering in production\nExperience building a multi-tenant or multi-region retrieval architecture with overlay / inheritance semantics, not just \"one big index\"\nVertex AI Vector Search or transferable depth (Pinecone, Weaviate, pgvector with strong tenancy, OpenSearch hybrid)\nEmbedding model evaluation discipline — retrieval quality metrics (recall@k, precision@k, MRR), not vibes\nPython; familiar with structured-doc ingestion pipelines (PDF / XML / spreadsheet chunked, normalized, embedded)\n\nNice-to-Have Skills\n\nDesigned a promotion path between draft/approved/retired patterns with audit log\nSampled human-review workflows integrated with the writeback path\nRF / telecom standards format familiarity","company":"Glint Tech Solutions","rawCompany":"glint tech solutions","city":"Round Rock","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-29T11:20:10.620Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data / Context Engineer","description":"Job Title: Data / Context Engineer\n\nLocation: Remote\n\nCompany Overview\nGlint Tech Solutions is a women-owned, global IT staffing and recruiting firm supporting enterprise clients across the USA and Canada.\n\nProject Description\nA leading enterprise client, a multinational telecommunications technology company, is seeking a Data / Context Engineer to play a pivotal role in shaping how knowledge flows across a massive, multi-region operation. This is a high-visibility opportunity to architect and scale a knowledge base (KB) system that will directly power decision-making across 12 regions and beyond. The role sits at the intersection of AI infrastructure, data engineering, and real-world business impact, with contributions visible across a nationwide operation from day one.\n\nKey Responsibilities\n\nSign and implement the multi-regional KB architecture in P1 alongside SA\nSeed the KB across 12 regions during P2 (cohort 1 wk1, cohort 2 wk2, cohort 3 wk3 of July)\nBuild and operate the ingestion pipeline (machine-readable regional standards embeddings retrievable patterns) with sampled human approval gate\nAdd MOD-specific retrievable context as regional overlays during Sep-Oct\nOwn KB integrity checks, retrieval evaluation, and weekly health reporting\n\nMandatory Skills\n\n4-6 years of hands-on RAG / retrieval / vector store engineering in production\nExperience building a multi-tenant or multi-region retrieval architecture with overlay / inheritance semantics, not just \"one big index\"\nVertex AI Vector Search or transferable depth (Pinecone, Weaviate, pgvector with strong tenancy, OpenSearch hybrid)\nEmbedding model evaluation discipline — retrieval quality metrics (recall@k, precision@k, MRR), not vibes\nPython; familiar with structured-doc ingestion pipelines (PDF / XML / spreadsheet chunked, normalized, embedded)\n\nNice-to-Have Skills\n\nDesigned a promotion path between draft/approved/retired patterns with audit log\nSampled human-review workflows integrated with the writeback path\nRF / telecom standards format familiarity","datePosted":"2026-09-29T11:20:10.620Z","dateModified":"2026-09-29T11:20:10.620Z","hiringOrganization":{"@type":"Organization","name":"Glint Tech Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Round Rock","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a264f2c2beb08f2dd8d3b76c"},"url":"https://jobsearcher.com/jobs/a264f2c2beb08f2dd8d3b76c"}}