Python developer with DB experience. Design, implement, and optimize Python-based orchestration frameworks for multi-agent AI systems using tools like LangGraph, LangChain, and FastAPI. Develop robust async architectures to support concurrent reasoning, tool use, and long-running workflows across distributed compute environments. Integrate LLMs with mcp servers, vector databases, and observability systems for adaptive agent behavior. Ensure reliability, performance, and maintainability through rigorous testing, type safety (mypy/pydantic), and production-grade CI/CD pipelines. Collaborate on system design and platform evolution, contributing to abstractions, developer SDKs, and runtime instrumentation for agent lifecycle management. Experience with agentic memory management (long term memory and Short term memory).