AI/ML Engineer

General Magic; Toronto; On-site; CAD 120,000 - 200,000; Full time

Benefits offered by this job

Equity

MacBook Pro

Onsite work in Toronto

Job summary

General Magic is building AI agents that handle quoting, follow-ups, document collection, verification, claims intake and broker communication, connected directly to carrier, MGA and broker systems. We work onsite in Toronto, offering equity, a new MacBook Pro and more.

You will design and build the AI core, including agentic and multi-agent systems, prompts, and evaluation pipelines. The role emphasizes fast, safe production deployments and collaboration across backend, APIs and data models to

Qualifications

• Deep understanding of how LLMs work beyond API usage.
• Experience building production agentic systems.
• Strong backend fundamentals and ability to move across codebases quickly.
• Experience treating evals and safety as core engineering practices.
• Drive to ship fast in a high-velocity environment.

Responsibilities

• Design and build agentic and multi-agent systems with tools, state and robust failure handling.
• Engineer prompts and context with guardrails to reduce hallucinations.
• Cut cost and latency with caching, context structuring and model selection.
• Build eval pipelines that catch regressions and tie quality to releases.
• Collaborate across backend, APIs and data models to ship features end-to-end.

Skills

LLM fundamentals

Agentic systems

Backend engineering

Eval & safety engineering

Ship fast mentality

Job description

Who we are

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. We work onsite in Toronto five days a week.

The role

You'll build the AI core of General Magic: the agents and LLM systems behind our product. You own how models are prompted, orchestrated and evaluated, and how they stay fast, cheap and safe in production insurance environments.

In this role, you will

• 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

For this role, you should have

• 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

$120-200k, equity, new MacBook Pro and more.