AIFA Labs - Principal AI Engineer - Multi Agent Systems & Agentic Memory

Description :

Job title : Principal AI Engineer Multi-Agent Systems & Agentic Memory

Location : Hyderabad

Role Summary :

Lead the design and development of a production-grade multi-agent AI platform using Lang Graph, with a strong focus on federated and privacy-preserving memory systems. You will own the architecture end-to-end and ship it to production.

Roles & Responsibilities :

- Design and build multi-agent systems (MAS) using Lang Graph

- Transform existing LLM workflows into agent-based architectures

- Architect federated memory systems where : Agents learn locally, Patterns are shared globally, Client data remains isolated and secure

- Build privacy-preserving learning loops across multiple MAS instances

- Design agent graphs including : Nodes, edges, state management, Conditional routing and sub-graphs

- Implement Model Context Protocol (MCP) servers for production tool access

- Improve agent performance through continuous learning and feedback

- Own architecture decisions and deliver production-ready solutions

Required Skills :

- Production Multi-Agent Systems experience (real users, real scale)

- Strong knowledge of agentic memory systems : Mem0, MemGPT/Letta, Zep, LangMem, Lang Graph check pointing

- Lang Graph expertise (graphs, state, subgraphs, check pointing)

- Federated / distributed systems experience with strict privacy boundaries

- Hands-on MCP server build or integration experience

- Experience migrating monolithic AI systems to agent-based systems

- 10+ years of software engineering experience (Principal-level)

- Strong Python skills (production-grade)

- Ability to architect, build, and ship independently

Skills : multi-agent systems,architecture,boundaries