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Who we are

For decades, insurance software has been built around rigid forms, portals and call centers that create friction for customers and slow teams down. Even as AI has advanced, most insurance work remains manual and spread across disconnected systems.

General Magic builds AI agents that handle quoting, customer service, underwriting, follow-ups and broker communication, connected directly to carrier, MGA and broker systems. We've raised $7.2M USD from Radical Ventures, a16z and several AI leaders.

We reward people who thrive with high autonomy, love shipping quickly and want real ownership. We work onsite in Toronto five days a week.

The role

You'll own the products brokers and their customers use every day, from frontend interfaces to backend services, APIs and the infrastructure underneath.

We're looking for a Full Stack Engineer who can take ideas from concept to production without needing a detailed spec. We're a flat team where engineers own their work, challenge assumptions and help shape what gets built. You'll work directly with the founders and ship features that real customers rely on.

In this role, you will

• Build and own features across the full stack, including frontend, backend, APIs and data models
• Develop the interfaces brokers use every day and the customer-facing channels our AI agents operate through, including SMS and iMessage
• Design and maintain the architecture connecting our products and services
• Own your infrastructure, define it as code, deploy it and keep it running
• Work across different parts of the codebase, building on other engineers' work and helping connect systems
• Ship to production every week and take responsibility for the quality and reliability of what customers experience
• Work directly with the founders to shape product decisions and decide what gets built

For this role, you should have

• Strong experience with TypeScript, React and modern full-stack development
• Experience with SQL, APIs and backend development
• Familiarity with cloud infrastructure, ideally GCP and Cloudflare
• Experience with Docker and infrastructure as code
• Experience using AI coding tools such as Claude Code, Codex or similar
• Ability to work independently, make technical decisions and own features from start to finish
• Willingness to learn and work with tools such as TanStack Start and StyleX

Experience with functional programming, RPC, Effect (TypeScript) and system design is a plus.