Data / Context Engineer

Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm supporting enterprise clients across the USA and Canada. They are seeking a Data / Context Engineer to architect and scale a knowledge base system that will power decision-making across multiple regions. The role involves significant responsibilities in building and maintaining the system architecture and ensuring data integrity.

Responsibilities:

• Sign and implement the multi-regional KB architecture in P1 alongside SA
• Seed 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 gate
• Add MOD-specific retrievable context as regional overlays during Sep-Oct
• Own KB integrity checks, retrieval evaluation, and weekly health reporting

Requirements:

• 4-6 years of hands-on RAG / retrieval / vector store engineering in production
• Experience 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 vibes
• Python; familiar with structured-doc ingestion pipelines (PDF / XML / spreadsheet chunked, normalized, embedded)
• Designed a promotion path between draft/approved/retired patterns with audit log
• Sampled human-review workflows integrated with the writeback path
• RF / telecom standards format familiarity