Generative Ai ( 3 To 10 Years )

Role & responsibilities

• Design, develop, and deploy Generative AI applications using Python and Large Language Models (LLMs).
• Develop and implement Retrieval-Augmented Generation (RAG) pipelines and LLM-based solutions.
• Work with LangChain, LangGraph, OpenAI APIs, and Hugging Face models.
• Integrate LLMs with APIs, databases, and enterprise applications.
• Implement vector databases, embeddings, and semantic search for efficient information retrieval.
• Develop AI agents and automated workflows using LLMs and tool calling.
• Optimise prompt engineering, model performance, response quality, and application scalability.
• Collaborate with cross-functional teams to deliver AI-powered business solutions.
• Perform testing, debugging, evaluation, and deployment of GenAI applications.
• Follow best practices for data security, responsible AI, and production readiness.