Manager, RAG/LLM Specialist

Key Responsibilities

Pipeline Ownership: Design and manage complex, multi-stage RAG pipelines ensuring low latency and high relevance.

Model Optimization: Lead fine-tuning initiatives (PEFT/LoRA) for open-source models to

improve domain-specific task performance.

Advanced Evaluation: Develop automated evaluation frameworks (e.g., RAGAS) to continually measure LLM accuracy, context precision, and recall.

Vector Strategy: Architect metadata filtering and hybrid search strategies within vector

databases (e.g., Pinecone, Milvus).

Team Mentorship: Guide junior analysts in prompt engineering, chunking strategies, and code quality.