Description

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

This role is hybrid.

Responsibilities

• Design Python orchestration frameworks using LangGraph, LangChain, and FastAPI.
• Develop asynchronous architectures for concurrent reasoning, tool use, and long-running workflows.
• Integrate LLMs with MCP servers, vector databases, and observability systems.
• Ensure system reliability through testing, type safety, and production-grade CI/CD pipelines.
• Contribute to system design, abstractions, and runtime instrumentation for agent lifecycle management.

Required Skills

• 8+ years of experience in Python and Java.
• Proficiency with LangGraph, LangChain, and FastAPI.
• Experience building async architectures for distributed compute.
• Integration of LLMs with vector databases and observability tools.
• Code quality assurance via testing and type safety (mypy, pydantic).
• SQL, Oracle, MySQL, and RDBMS database design.
• Java, Vert.x, and Microservice architecture patterns.
• Agentic memory management (short-term and long-term).

Key Skills

Education

Any Graduate