(Summary generated by AI based on the full job description)
The project focuses on building advanced Generative AI solutions including chatbots, voicebots, AI agents and Talk-to-Data. Key stack includes Python, PyTorch, Hugging Face, LangChain, LangGraph, LlamaIndex, integrations with OpenAI/Gemini APIs, and work with vector DB and SQL; deployments on Azure/GCP. Responsibilities cover designing and implementing end-to-end GenAI, building and optimizing RAG pipelines, fine-tuning models (LoRA/QLoRA/SFT), implementing MCP for agents, crafting prompting and guardrails, translating business requirements into technical solutions, and supporting deployments and pre-sales. Required experience in ML/LLMs, Deep Learning, microservice architectures and mentoring junior engineers.

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