Lead/Sr. AI ML Engineer / GEN AI Engineer

Lead / Senior AI/ML Engineer / GenAI Engineer

Role & responsibilities

Experience: 5+ Years
Location: Pune
Notice Period: Immediate to 30 Days
Employment Type: Full-time

About the Role

We are looking for an experienced Lead / Senior AI/ML Engineer / GenAI Engineer to design, develop, and deploy AI/ML and Generative AI solutions. The ideal candidate should have strong hands-on experience in Python, LLMs, RAG, NLP, Transformers, LangChain/LangGraph, and AI application development.

Key Responsibilities

• Design and develop scalable AI/ML and Generative AI solutions for business use cases.
• Build and optimize LLM-powered applications using RAG, prompt engineering, agents, and tool calling.
• Develop AI workflows and agentic applications using LangChain / LangGraph.
• Implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, vector search, retrieval, and evaluation.
• Work with Transformers, NLP, LLMs, embeddings, and fine-tuning techniques.
• Develop production-ready AI services and APIs using Python.
• Evaluate and optimize model performance, accuracy, latency, and cost.
• Work with vector databases and AI/ML frameworks to build scalable solutions.
• Collaborate with product, engineering, and data teams to translate business requirements into AI solutions.
• Lead technical discussions, architecture decisions, code reviews, and mentor junior AI/ML engineers.
• Stay updated with emerging GenAI, LLM, Agentic AI, and AI/ML technologies.

Required Skills

• 5+ years of experience in AI/ML, Data Science, NLP, or related engineering roles.
• Strong hands-on programming experience in Python.
• Strong experience with Generative AI / LLM applications.
• Hands-on experience with LangChain and/or LangGraph.
• Strong understanding of RAG architecture and implementation.
• Experience with Transformers, NLP, embeddings, prompt engineering, and LLMs.
• Experience with Vector Databases and semantic search.
• Good understanding of ML/AI model evaluation and optimization.
• Experience developing and deploying AI solutions in production environments.
• Strong problem-solving and analytical skills.