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About the Role
You'll build the AI core of General Magic: the agents and LLM systems behind our product. You will own how models are prompted, orchestrated, and evaluated, and how they stay fast, cheap, and safe in production insurance environments.
Responsibilities
- Design and build agentic and multi-agent systems with tool use, state, and solid failure handling
- Engineer prompts and context deliberately, with guardrails and hallucination controls
- Cut cost and latency with concrete levers like caching, context structuring, and model selection
- Build eval pipelines that catch regressions and tie quality to every release
- Work across our backend, APIs, and data models to ship features end to end
Requirements
- A deep, first-principles understanding of how LLMs work, not just API usage
- Real agentic systems running in production, not demos
- Strong backend fundamentals and the ability to move through unfamiliar codebases quickly
- Experience treating evals and safety as core engineering
- The drive to ship fast in a high-velocity setting
Location
- Toronto
Work Type
- Onsite
Salary/Compensations
- $120-200k
Benefits
- Equity
- New MacBook Pro
About the Company
- For decades, insurance software has been built around rigid forms, portals and call centers that create friction for customers and drag for teams. Even as AI has advanced, most insurance work is still manual, slow and spread across disconnected systems.
- General Magic builds AI agents that handle quoting, follow-ups, document collection, verification, claims intake and broker communication, connected directly to carrier, MGA and broker systems.
- We've raised $7.2M USD from Radical Ventures, a16z and several AI luminaries.
- We reward people who thrive with high autonomy, love shipping quickly and want real ownership.