Description

You will design, implement, and optimize Python-based orchestration frameworks for multi-agent AI systems.

Responsibilities

• Design and optimize Python orchestration frameworks using LangGraph, LangChain, and FastAPI for multi-agent AI systems.
• Develop robust asynchronous architectures supporting concurrent reasoning, tool use, and long-running workflows.
• Integrate LLMs with MCP servers, vector databases, and observability systems for adaptive agent behavior.
• Ensure system reliability through rigorous testing, type safety (mypy/pydantic), and production-grade CI/CD pipelines.
• Collaborate on system design, contributing to abstractions, developer SDKs, and runtime instrumentation for agent lifecycle management.

Required Skills

• 8+ years of experience in Python and Java technologies.
• Experience with Python orchestration frameworks (LangGraph, LangChain, FastAPI).
• Proficiency in developing robust async architectures for distributed compute environments.
• Experience integrating LLMs with vector databases and observability systems.
• Strong capability in ensuring code quality via testing and type safety (mypy/pydantic).
• Experience with SQL, Oracle, MySQL, and RDBMS database design/build.
• Familiarity with Java, Vert.x, and Microservice architecture patterns.
• Experience with agentic memory management (long term and short term memory).

Key Skills

Education

Any Graduate