RAG Engineer
Family: Data & AI
Designs retrieval-augmented generation pipelines that ground LLM outputs in verified, up-to-date document corpora.
Day to day
Builds vector stores and indexing pipelines, tunes retrieval strategies, evaluates answer faithfulness and recall, and integrates RAG systems into production LLM applications.
Core skills
- vector databases
- embeddings
- retrieval strategies
- LLMs
- Python