RAG/LLM Specialist Manager/Sr. Manager (Bengaluru)

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 .