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 work directly with insurance brokerages and carriers to turn complex, real-world workflows into working AI products, taking them from an initial customer conversation to production.
We're looking for a Forward Deployed Engineer who enjoys solving problems that don't come with clear instructions. You'll work closely with customers to understand how their businesses operate, build AI workflows around their needs and make sure those solutions work in production. 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 customers, taking ownership of everything from understanding the problem to delivering the solution.
In this role, you will
Work directly with brokers and carriers to understand their workflows, challenges and business requirements
Turn ambiguous customer requests into clear technical plans and working AI solutions
Build and deploy AI workflows using agents, APIs, tools and browser automation
Integrate our AI agents with customer systems, data sources and existing software
Own customer deployments from initial discovery through implementation, testing and production
Build evaluations, monitor performance and improve workflows based on real customer usage
Lead technical customer conversations, manage expectations and help customers adopt what you build
Work closely with our product and engineering teams to turn customer feedback into improvements across the platform
For this role, you should have
Strong programming fundamentals and experience building and shipping software
Experience building AI workflows using LLMs, agents, tools and APIs
Familiarity with frameworks such as LangChain, LangGraph or similar
Experience working with backend systems, integrations and production deployments
Ability to break down ambiguous problems and take ownership of solutions from start to finish
Strong communication skills and confidence working directly with non-technical customers
Experience using AI coding tools such as Claude Code, Codex or similar
Willingness to learn quickly, work independently and take responsibility for customer outcomes
Experience in insurance or insurtech, building evaluation systems and fine-tuning models is a plus but not a core requirement.
Compensation and benefits
$130K–$200K CAD base salary, depending on experience, plus equity
Health and dental benefits
Wellness benefits
Dinner covered when working in the office past 7:30 PM
Expenses covered for conferences, tools and anything you need to do your job well
Direct ownership of AI solutions deployed to real customers
Work alongside experienced operators, engineers and founders who care deeply about what they build