LEAD DATA ANALYST - AI Prompt & Response

 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 environments 
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