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Stabilize and optimize core LLM-based features for performance, reliability, and cost efficiency. Take ownership of RAG pipelines, ensuring every answer is traceable, verifiable, and hallucination-resistant. Build a systematic evaluation layer for offline and online quality tracking, introducing clear metrics for groundedness, coverage, and faithfulness.
Stabilize and optimize core LLM-based features for performance, reliability, and cost efficiency. Take ownership of RAG pipelines, ensuring every answer is traceable, verifiable, and hallucination-resistant. Build a systematic evaluation layer for offline and online quality tracking, introducing clear metrics for groundedness, coverage, and faithfulness.