Senior Manager RAG/LLM Specialist
Experience: 47 Years
Function: Generative AI / Machine Learning / LLM
Employment Type: Full time
Role Overview
We are looking for a Senior Manager RAG/LLM Specialist to lead the design, optimization, and enterprise deployment of advanced Retrieval-Augmented Generation (RAG) solutions and LLM-based applications.
The ideal candidate will have solid hands-on experience in RAG pipelines, LLM fine-tuning, embeddings, vector databases, prompt engineering, and GenAI evaluation frameworks, with the ability to take solutions from prototype to production at enterprise scale.
Key Responsibilities
Design and manage complex, multi-stage RAG pipelines focused on high relevance, accuracy, scalability, and low latency.
Lead LLM fine-tuning initiatives using PEFT, LoRA/QLoRA, and other parameter-productive techniques.
Work with open-source foundation models to improve domain-specific performance.
Design advanced retrieval strategies including hybrid search, semantic search, metadata filtering, reranking, HyDE, and parent-document retrieval.
Develop automated evaluation frameworks using tools such as RAGAS to measure context precision, context recall, response quality, and overall LLM performance.
Architect and optimize vector database solutions using technologies such as Pinecone, Milvus, FAISS, Weaviate, or Qdrant.
Lead prompt engineering and optimization initiatives across GenAI use cases.
Work closely with data, engineering, and product teams to productionize LLM solutions.
Mentor junior team members on RAG architecture, chunking strategies, prompt engineering, evaluation, and code quality.
Drive best practices around LLM application development, observability, testing, and performance optimization.
Required Skills
47 years of experience in AI/ML, Data Science, NLP, or Software Engineering, with at least 1+ year of hands-on LLM/GenAI experience.
Strong programming skills in Python.
Hands-on experience with RAG / Re
📌 Rag/llm Specialist Manager/sr Manager Bengaluru
🏢 EXL
📍 Bengaluru