
Vercel for AI Agents – One click deploy for the Claude Agent SDK
We’re hiring a Founding Engineer to help build Castari into the default platform for deploying and running agentic apps, starting with Claude Agent SDK.
This role is about shaping the product and the company as much as writing code. You’ll help define what the “Vercel experience” should look like for agents, make foundational technical decisions, and ship the first versions that users actually depend on.
If you believe agents are the next major application platform shift, then the deployment layer becomes a default winner-take-most surface. We’re early enough that the “right” platform doesn’t exist yet, and small teams can still define it.
Castari is building the deployment platform for AI agents, the way Vercel became the default for web apps.
The world is shifting from “prompting a model” to shipping autonomous software. Agents will run real workflows: pulling data, browsing, generating files, calling tools, and coordinating multi-step tasks. That’s a massive new surface area for reliability, security, and operations.
Right now, most agent teams are duct-taping together infrastructure that was never designed for this. The result is predictable: fragile deployments, unclear failure modes, unsafe execution, and almost no visibility into what happened when an agent goes off the rails.
Castari’s long-term goal is to be the go-to runtime and control plane for agentic applications. A place where teams can deploy agents with confidence, run them safely, observe everything, and scale without rebuilding their stack every time the agent gets more capable.
We’re starting with a deliberate wedge: Claude Agent SDK. Our goal is simple: when you build an agent with the Claude Agent SDK, Castari should be the obvious place to deploy it.