AI Engineer

Role overview Design and deploy an organization-wide knowledge system that combines memory, structured relationships, and recurring information processing. Build production-ready AI agents that use this knowledge to support practical workflows.

Responsibilities - Architect and implement a knowledge system combining hybrid memory and a knowledge graph. - Develop the system’s recurring “dream cycle” for reviewing and organizing stored information. - Build, deploy, and maintain production-grade agents using frameworks and protocols such as LangGraph and MCP. - Apply retrieval-augmented generation to large-scale knowledge and agent use cases.

Requirements - 3–6 years of relevant experience. - Senior-level Python development skills. - Experience designing and scaling retrieval-augmented generation systems. - Ability to deliver AI agents and knowledge infrastructure for production use.

Nice to have - Practical experience with LangGraph, MCP, hybrid memory systems, or knowledge graphs.