EXL - Senior RAG/LLM Engineer - Artificial Intelligence/Machine Learning in Bengaluru, India

Job Description :Role Overview :Lead the design and optimization of advanced RAG pipelines and model fine tuning processes. Bridge the gap between prototype and enterprise-scale LLM https://jobeax.com/link/XIA7wD9gSNU9qtiD 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 https://jobeax.com/link/s1TSLrTZCAbltCc4 Skills & Qualifications :- 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-efficient fine-tuning.- Qualifications: Bachelors/Master's in CS/Data Science with 4 - 7 years in ML/AI, including 1+ years specifically working with LLMs (ref:hirist.tech)