MCP & Memory Intern
Core
Building and improving Model Context Protocol (MCP) servers/clients and designing agent memory systems to enable AI agents to discover tools, call them safely, and maintain context across sessions.
Role type
Intern, hands-on IC
Builds
MCP servers and clients, agent memory modules, and tool integration loops
Domain
Artificial Intelligence / Agentic Systems
Deliverable
production ML models
Required skills
Python, MCP (Model Context Protocol), agent memory design, tool calling, rapid prototyping, debugging, documentation
Preferred skills
MCP server/client implementation, agent frameworks, caching/conversation state management
Responsibilities
Building and improving MCP servers and clients, experimenting with agent memory retrieval and storage, wiring tools and memory into agent loops, creating fixtures and smoke tests, iterating on rough ideas to functional code
Seniority
Intern
