Data / Retrieval Engineer

- Apply metadata filtering lineage freshness and traceability controls - Build monitoring dashboards alerts and operational runbooks - Build reranking grounding and citation generation mechanisms - Create retrieval evaluation datasets and relevance labels - Define and monitor retrieval quality metrics - Design and build scalable ingestion pipelines - Develop vector keyword and hybrid retrieval indexing solutions - Implement PII sensitive data retention and security governance controls - Implement access aware retrieval with user and entitlement permissions - Implement document chunking embedding generation and metadata enrichment - Optimize retrieval pipelines for scalability availability observability and performance - Own data ingestion and retrieval ecosystem for enterprise AI agents - Troubleshoot production ingestion indexing and retrieval quality issues