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-efficient 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