Description

You will design and build complex, production-ready multi-agent systems.

Responsibilities

  • Design and build multi-agent systems (MAS) using Lang Graph.
  • Architect federated memory systems ensuring local learning, global pattern sharing, and data isolation.
  • Implement Model Context Protocol (MCP) servers for production tool access.
  • Design agent graphs, managing nodes, edges, state, conditional routing, and sub-graphs.
  • Own architecture decisions and deliver end-to-end solutions.

Required Skills

  • 10+ years of software engineering experience at a Principal level.
  • Strong, production-grade Python skills.
  • Experience with production Multi-Agent Systems at scale.
  • Deep knowledge of agentic memory systems (Mem0, MemGPT/Letta, Zep, LangMem, Lang Graph).
  • Expertise in Lang Graph, including state management and check pointing.
  • Experience building or integrating MCP servers.
  • Experience with federated or distributed systems maintaining strict privacy boundaries.
  • Proven ability to migrate monolithic AI systems to agent-based architectures.
  • Strong skills in Architecture and Design.

Key Skills
Education

Any Gradute

Back To Jobs