Agentic AI/Generative AI Engineer

BE/BTech/MCA candidates having 7+ years of experience as Agentic AI / Generative AI Engineer to design, develop, and deploy intelligent AI solutions powered by Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and modern AI frameworks. Should have hands-on experience building AI copilots, autonomous agents, conversational AI solutions, and enterprise-grade GenAI applications. Key Responsibilities : - Design and develop Agentic AI applications leveraging LLMs such as GPT, Claude, Gemini, Llama, and Mistral. - Build AI Agents capable of reasoning, planning, tool usage, and autonomous task execution. - Develop RAG-based solutions using vector databases and enterprise knowledge repositories. - Implement prompt engineering, fine-tuning, and optimization techniques to improve model performance. - Integrate AI applications with APIs, databases, enterprise systems, and cloud services. - Build multi-agent workflows using frameworks such as CrewAI, LangGraph, AutoGen, Semantic Kernel, and LangChain. - Develop conversational AI, virtual assistants, copilots, and knowledge management solutions. - Monitor AI applications for accuracy, scalability, security, and governance requirements. - Collaborate with business stakeholders to identify AI use cases and translate them into technical solutions. Required Skills : - Python Development - LLMs (GPT, Claude, Gemini, Llama) - Agentic AI Frameworks (LangGraph/CrewAI/AutoGen) - RAG Implementation - Vector Databases - Prompt Engineering - API Integrations - Cloud (Azure OpenAI/AWS Bedrock) "ANY" - Production Deployment Experience - GenAI Application Development .