{"schemaVersion":"jobsearcher.job.v1","id":"f312b52cbbd0ece4ed0a90a0","url":"https://jobsearcher.com/jobs/f312b52cbbd0ece4ed0a90a0","canonicalUrl":"https://jobsearcher.com/jobs/f312b52cbbd0ece4ed0a90a0","title":"Data / Context Engineer","description":"Data / Context EngineerLocation: RemoteCompany Overview: Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm supporting enterprise clients across the USA and Canada.Project Description: A 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.Key Responsibilities:Sign and implement the multi-regional KB architecture in P1 alongside SASeed the KB across 12 regions during P2 (cohort 1 wk1, cohort 2 wk2, cohort 3 wk3 of July)Build and operate the ingestion pipeline (machine-readable regional standards embeddings retrievable patterns) with sampled human approval gateAdd MOD-specific retrievable context as regional overlays during Sep-OctOwn KB integrity checks, retrieval evaluation, and weekly health reportingMandatory Skills:4-6 years of hands-on RAG / retrieval / vector store engineering in productionExperience building a multi-tenant or multi-region retrieval architecture with overlay / inheritance semantics, not just \"one big index\"Vertex AI Vector Search or transferable depth (Pinecone, Weaviate, pgvector with strong tenancy, OpenSearch hybrid)Embedding model evaluation discipline — retrieval quality metrics (recall@k, precision@k, MRR), not vibesPython; familiar with structured-doc ingestion pipelines (PDF / XML / spreadsheet chunked, normalized, embedded)Nice-to-Have Skills:Designed a promotion path between draft/approved/retired patterns with audit logSampled human-review workflows integrated with the writeback pathRF / telecom standards format familiarity","company":"Glint Tech Solutions","rawCompany":"glint tech solutions","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-21T13:03:35.849Z","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":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Data / Context EngineerLocation: RemoteCompany Overview: Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm supporting enterprise clients across the USA and Canada.Project Description: A 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.Key Responsibilities:Sign and implement the multi-regional KB architecture in P1 alongside SASeed the KB across 12 regions during P2 (cohort 1 wk1, cohort 2 wk2, cohort 3 wk3 of July)Build and operate the ingestion pipeline (machine-readable regional standards embeddings retrievable patterns) with sampled human approval gateAdd MOD-specific retrievable context as regional overlays during Sep-OctOwn KB integrity checks, retrieval evaluation, and weekly health reportingMandatory Skills:4-6 years of hands-on RAG / retrieval / vector store engineering in productionExperience building a multi-tenant or multi-region retrieval architecture with overlay / inheritance semantics, not just \"one big index\"Vertex AI Vector Search or transferable depth (Pinecone, Weaviate, pgvector with strong tenancy, OpenSearch hybrid)Embedding model evaluation discipline — retrieval quality metrics (recall@k, precision@k, MRR), not vibesPython; familiar with structured-doc ingestion pipelines (PDF / XML / spreadsheet chunked, normalized, embedded)Nice-to-Have Skills:Designed a promotion path between draft/approved/retired patterns with audit logSampled human-review workflows integrated with the writeback pathRF / telecom standards format familiarity","datePosted":"2026-09-21T13:03:35.849Z","dateModified":"2026-09-21T13:03:35.849Z","hiringOrganization":{"@type":"Organization","name":"Glint Tech Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f312b52cbbd0ece4ed0a90a0"},"url":"https://jobsearcher.com/jobs/f312b52cbbd0ece4ed0a90a0"}}