Distributed Systems Engineer
Arcade, San Francisco, CA
The role
Everyone's building AI agents, but almost nobody gets them to production.
Building an impressive demo is easy. Building an AI agent that can securely take action inside enterprise systems is hard. The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.
Arcade is the MCP runtime that gives agents the power to do both seamlessly. We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did. That's what makes AI safe to turn loose: real actions, on real systems, already shipping inside Fortune 100 companies.
What you will do
- Build the infrastructure to manage the backplane for all future AI tools
- Design, build, test, and deploy high-performance, secure, production-grade software.
- Develop SDKs and frameworks that make it easy for other developers to build custom tools