Role Overview: Senior Manager, RAG/LLM Specialist

Lead the design and optimization of advanced RAG pipelines and model fine tuning processes. Bridge the gap between prototype and enterprise-scale LLM deployment.

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.

Qualifications:
Qualifications: Bachelor’s/Master’s in CS/Data Science with 5+ years in ML/AI, including 1+ years specifically working with LLMs.

Required Skills:
Tech Stack: Python, PyTorch/TensorFlow, LangChain, LlamaIndex, advanced embedding models.
GenAI Skills: Deep expertise in advanced RAG (HyDE, parent-document retrieval), prompt optimization, and parameter-productive fine-tuning.

📌 Senior Manager Bengaluru
🏢 EXL
📍 Bengaluru