Job Description
Project description
Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal LLM‑powered assistant that uses hosted LLM APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.
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 t...