Project NANDA Fellowship Program
Rapid Builder AI Fellow
High-ownership builder role — prototype, ship, and maintain infrastructure for the Internet of AI Agents.
About Project NANDA
Project NANDA (Networked Agents and Decentralized AI) is building the foundational infrastructure for an Internet of AI Agents. The existing internet was designed for humans — DNS resolves domain names typed by people, HTTP serves documents to browsers, PKI authenticates websites for users. None of it handles billions of autonomous agents that need to discover each other, verify capabilities, and transact in milliseconds without a human in the loop.
NANDA's architecture spans discovery (a federated index for agents), identity (cryptographically signed capability documents), federation (a distributed registry across 15+ institutions), and interoperability (native support for MCP, A2A, and NLWeb). NEST is the platform where agents are deployed, registered, and orchestrated on this stack.
Position overview
This is a high-ownership builder role. You'll prototype, ship, and maintain infrastructure — some ends up in papers, some in live deployments, some at partner events.
You'll face open-ended problems with no ticket, no spec, and no obvious answer. You'll make architectural calls on the fly. The role demands both speed and substance — and the judgment to know which one the moment calls for.
What you'll own
- Build on NEST platform: deployment tooling, agent orchestration, registry APIs, and developer experience
- Implement agent registration and discovery flows on the NANDA Index
- Protocol integration: MCP servers/clients, A2A agent cards, AgentFacts schema validation
- Full-stack infrastructure: backends, dashboards, simulation harnesses
- Live demos for NANDA events and hackathons — things that run in front of an audience
- Research-adjacent prototypes: when a paper describes a system, you build it
What We're Looking For
- No YoE floor or ceiling — we care about what you can do, not how long you've been doing it
- Strong CS fundamentals — how systems communicate, where things break under load, why architectural decisions compound
- You can read an unfamiliar codebase and get oriented fast
- Hands-on across the stack: backend, frontend, containerization, debugging in production
- You use AI tools to move fast without losing structural integrity
- You own problems end-to-end: scoping, building, testing, shipping, presenting
- You don't wait to be told what to do next
Nice to Have
- Practical experience with MCP, A2A, or agent frameworks (LangGraph, AutoGen, CrewAI)
- Understanding of agentic systems — agent graphs, tool invocation, context management, multi-agent handoffs
Communication & collaboration
- High visibility — your work gets presented at events and feeds into research
- Real ownership — no hand-holding or micromanagement
- Fast feedback loops — you'll know if something works within days, not quarters
Apply now