The Opportunity

We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else.

As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like.

What You'll Do as a Staff Engineer on Our Auggie Platform Team

Here are examples of the kinds of initiatives you'd work on today:

Multi-agent orchestration and execution. Design and build the core systems that let multiple autonomous agents collaborate, delegate, and execute complex business workflows in production — not chatbot interactions, but structured multi-step operations running across real business data.

Autonomous workflow automation. Build the automation layer that turns business processes into agent-driven workflows with structured data models, conditional logic, and human-in-the-loop review queues that keep autonomous systems safe and reliable.

Auto-generated application UIs. Architect the systems that dynamically generate functional user interfaces from agent outputs and structured data models, letting non-technical users interact with AI-powered applications without writing code.

Platform integration and MCP infrastructure. Own the integration layer connecting Auggie to internal and external systems — building MCP servers, managing agent-to-system communication, and enabling the platform to operate across tools like Slack, Notion, Salesforce, and custom data sources.

What We're Looking For