1 Design and develop agentic AI systems using frameworks such as AutoGen, LangGraph, or similar agent orchestration frameworks

2 Build and integrate MCP (Model Context Protocol) servers and tools to enable structured tool usage and context sharing across AI models

3 Develop robust backend services and AI pipelines using Python. Containerize and deploy applications using Docker, ensuring consistency across development and production settings

4 Work with Linux-based systems for development, deployment, monitoring, and troubleshooting. Collaborate with cross-functional teams to integrate AI solutions into existing platforms

5 Maintain documentation, code quality,



and best practices for AI and platform development Preferred - Nice-to-Have Skills Experience with cloud platforms (AWS, Azure, or GCP) Skills - Autogen, LangGraph, or similar agent orchestration frameworks, MCP , LLM observability tools (eg, Langfuse, LangSmith), vector databases, RAG pipelines or agent-based retrieval systems

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📌 Lead Data Analyst Ai Prompt & Response Bengaluru (India)
🏢 Happiest Minds Technologies
📍 India