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)

1. Python Development
2. LLMs (GPT, Claude, Gemini, Llama)
3. Agentic AI Frameworks (LangGraph/CrewAI/AutoGen)
4. RAG Implementation
5. Vector Databases
6. Prompt Engineering
7. API Integrations
8. Cloud (Azure OpenAI/AWS Bedrock) ANY
9. Production Deployment Experience
10. 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