AI Data Engineer

Responsibilities Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring) Improve indexing and retrieval performance and quality (chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching) and support hybrid retrieval capabilities (vector keyword/BM25 metadata) Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests Improve source attribution so responses reliably point to the correct documents and sections in a consistent format. Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history Develop and maintain evaluation and regression testing (golden sets, automated scoring) and support structured comparisons acros...