Hiring Gen Ai / Ai Ml Engineer Core Python Mumbai

We are looking for an experienced Gen AI / AI-ML Engineer with strong expertise in Generative AI and Core Python. The ideal candidate should have hands-on experience developing production-ready AI solutions using LLMs, RAG, Agentic AI, and modern AI frameworks, with experience working on any major cloud platform. Key Responsibilities Design, develop, and deploy Generative AI solutions for enterprise use cases. Build and optimize LLM-based applications using Core Python. Develop and implement RAG pipelines and integrate vector databases. Design Agentic AI workflows and intelligent AI applications. Integrate LLMs and AI models with enterprise applications through APIs. Develop scalable and production-ready AI services using Python. Fine-tune and optimize AI/LLM solutions for performance, accuracy, and cost efficiency. Deploy and manage AI workloads on any major cloud platform. Implement MCP for context management and integration with external systems. Collaborate with engineering, product, and business teams to deliver end-to-end AI solutions. Stay updated with emerging developments in Generative AI, LLMs, and AI engineering. Required Skills 8+ years of experience in AI/ML, Software Engineering, Data Science, or related technologies. Robust hands-on expertise in Core Python. Strong experience in Generative AI and Large Language Models (LLMs). Hands-on experience with RAG architecture and vector databases. Experience building Agentic AI solutions and workflows. Experience with LangChain or similar Gen AI frameworks. Solid understanding of prompt engineering and LLM application development. Experience integrating AI models through REST APIs and scalable services. Experience with MCP or similar context/integration protocols. Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP. Strong understanding of AI application architecture and deployment. Excellent analytical, troubleshooting, and problem-solving skills. Valuable to Have Experience with LLM fine-tuning. Exposure to MLOps and AI deployment frameworks. Experience building production-grade Gen AI applications. Knowledge of scalable cloud-based AI architectures. Experience with AI agents, tool calling, and workflow orchestration. .