Agentic AI

We are seeking an experienced 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. The ideal candidate 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. Must-Have Skills (Screening) 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 Generative AI OpenAI GPT, Azure OpenAI, Gemini, Claude, Llama Prompt Engineering Agentic AI AI Agents Multi-Agent Systems LangChain LangGraph Programming Python (Mandatory) FastAPI / Flask