Forward Deployed AI Engineer

General Magic; Toronto; On-site; CAD 120,000 - 150,000; Full time

Benefits offered by this job

Health and dental benefits

Wellness benefits

Dinner covered after 7:30pm

Conference expenses

Job summary

General Magic is building insurance-specific AI for brokerages. We hire a Forward Deployed AI Engineer to be on the ground inside brokerages, learn their workflows, and ship production agents that automate servicing.

You’ll own Ava’s development, map broker servicing flows, integrate with systems like Applied Epic, and work directly with the founders to push the product forward.

Qualifications

• 2+ years of engineering experience building products real people use.
• Strong Python skills and solid backend instincts.
• A clear communicator in person and in writing. This role is half listening to customers and half building for them.
• You ship fast and care about what lands in production, not just what works in a notebook.
• Experience building with LLMs and agent frameworks like LangGraph or LangChain, including designing multi-step agent workflows, tool calling, and managing state across a conversation.

Responsibilities

• Build and ship Ava, our customer-facing servicing agent, that handles policyholder requests over messaging platforms and resolves them end to end.
• Map out real servicing flows with brokers, like certificate requests, policy changes, billing questions, document collection, and claims intake, and turn each into something Ava can run on its own.
• Embed with brokers and their customers to understand how servicing actually happens today, then design the agent experience that replaces the back-and-forth with a single thread that gets things done.
• Integrate Ava directly into the systems brokers run on, like Applied Epic, so a customer message turns into a completed action in the system of record.
• Own the quality of what policyholders experience over messaging, and be the reason a brokerage goes live and keeps its customers happy.

Skills

Python

Backend development

Clear communicator

Tools

LangGraph

LangChain

Job description

See All Roles

Forward Deployed AI Engineer

Sit with brokers, learn how their work really happens, and ship the agents that do it for them.

About The Role

Insurance-specific AI built for brokerages. A full team of AI agents handles customer service, underwriting, and quoting within a single connected system. We're building the infrastructure to run an insurance business at full capacity: more policies serviced, more quotes out the door, better margins on both.

We're hiring a Forward Deployed Engineer to be our person on the ground inside these brokerages. You'll learn their workflows firsthand, turn them into agents that run in production, and feed everything you learn back into the core product. You'll work directly with the founders.

What you’ll be doing

• Build and ship Ava, our customer-facing servicing agent, that handles policyholder requests over messaging platforms and resolves them end to end.


• Map out real servicing flows with brokers, like certificate requests, policy changes, billing questions, document collection, and claims intake, and turn each into something Ava can run on its own.


• Embed with brokers and their customers to understand how servicing actually happens today, then design the agent experience that replaces the back-and-forth with a single thread that gets things done.


• Integrate Ava directly into the systems brokers run on, like Applied Epic, so a customer message turns into a completed action in the system of record.


• Own the quality of what policyholders experience over messaging, and be the reason a brokerage goes live and keeps its customers happy.

About You

• 2+ years of engineering experience building products real people use.


• Strong Python skills and solid backend instincts.


• A clear communicator in person and in writing. This role is half listening to customers and half building for them.


• You ship fast and care about what lands in production, not just what works in a notebook.


• Experience building with LLMs and agent frameworks like LangGraph or LangChain, including designing multi-step agent workflows, tool calling, and managing state across a conversation.


• Interested in solving hard problems in regulated industries. Insurance experience is a plus, not a requirement.

Benefits

• $120k+ base salary, benchmarked to market and scaled with experience. Equity included in total comp.


• Direct ownership of the deployments that put our product in front of real customers.


• Work alongside operators, builders, and founders who care about the craft.


• Health and dental benefits.


• Wellness benefits.


• Dinner covered if you're in the office past 7:30pm.


• Expenses covered for conferences, tools, and anything you need to do your job well.