Startups · AI

Software Engineer San Francisco / Hybrid / Remote • Full-time

Codeintegrity · Remote (US) · Remote

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About Codeintegrity

Endpoint security inside the agent harness. CodeIntegrity sits inside the agent and stops the wrong action before it runs, on the device, with no cloud in the loop. Backed by Antler.

About the role

You'll build the software enterprises use to monitor and control AI agents connected to tools and data. Work with our security engineers to turn security requirements into reliable product features.

What they're looking for

  • Build backend services for agent connections, tool access, execution records, and control workflows
  • Design APIs and data models that handle agent activity, permissions, and customer data securely
  • Build integrations that connect agents, MCP servers, and enterprise systems with clear authentication and authorization boundaries
  • Keep production systems reliable. Write tests, add useful logs and metrics, and debug failures and performance issues
  • Ship features from design through rollout. Review code, document technical decisions, and improve the product using customer feedback
  • You have built and maintained software used by customers or internal teams
More about this role

AI agents are changing how enterprises operate. Companies want to move fast with MCPs and agents, but they need a way to do it safely.

CodeIntegrity is the platform security teams use to control MCPs and agents, built for companies deploying AI across the enterprise. We raised $5 million from SYN Ventures, Antler, and Boost, and we are a small team, mostly engineers, shipping fast. We are building the infrastructure that will make enterprise AI safe to use.

What You Will Do

You'll build the software enterprises use to monitor and control AI agents connected to tools and data. Work with our security engineers to turn security requirements into reliable product features.

  • Build backend services for agent connections, tool access, execution records, and control workflows.
  • Design APIs and data models that handle agent activity, permissions, and customer data securely.
  • Build integrations that connect agents, MCP servers, and enterprise systems with clear authentication and authorization boundaries.
  • Keep production systems reliable. Write tests, add useful logs and metrics, and debug failures and performance issues.
  • Ship features from design through rollout. Review code,...

Read the full posting on Codeintegrity's site ↗

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