We are looking for a highly skilled Senior AI/ML Engineer with strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and model fine-tuning techniques.

The ideal candidate should have hands-on experience building, optimizing, and evaluating enterprise-scale GenAI solutions, with deep understanding of LLM architectures, fine-tuning methods, vector databases, and AI evaluation frameworks.

Key Responsibilities :

- Design, develop, and deploy GenAI and LLM-powered applications for enterprise use cases

- Build and optimize RAG pipelines including ingestion, chunking, embedding, retrieval, and response generation

- Fine-tune foundation models using PEFT techniques such as LoRA and qLoRA

- Work with prompt engineering, model optimization, and inference tuning

- Evaluate LLM and RAG system outputs using quantitative and qualitative metrics

- Implement and optimize Vector Database solutions for semantic search and retrieval

- Collaborate with Product, Engineering, and Data teams to productionize AI solutions

- Drive model experimentation, benchmarking, and performance improvements

- Ensure AI solutions meet scalability, reliability, governance, and security standards

Required Skills & Experience :

- 6.1- 8.5 Years years of experience in AI/ML Engineering, Data Science, or NLP engineering