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General Magic

Forward Deployed AI Engineer

Toronto, ON, Canada

$120k+ base salary, benchmarked to market and scaled with experience. · Full-time

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Job details

Pay: $120k+ base salary, benchmarked to market and scaled with experience.
Job type: Full-time
Apply by: Oct 28, 2026
Experience: 2+ years of engineering experience building products real people use.
Posting language: English
Posted: Aug 5, 2026

Original job description

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Forward Deployed AI Engineer

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

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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.

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More about this job

Responsibilities

Build and deploy Ava, a customer-facing AI agent that resolves insurance policyholder requests through messaging, and translate brokerage servicing workflows into autonomous agent capabilities. Work directly with brokers and their customers, integrate Ava with systems such as Applied Epic, and own the quality and success of customer deployments.

Requirements

Requires at least two years of engineering experience, strong Python and backend skills, and experience building production products with LLMs and agent frameworks such as LangGraph or LangChain. Candidates should be effective communicators, ship quickly, and be comfortable designing multi-step workflows, tool calling, and conversation state; insurance experience is a plus.

Skills

Python
Backend Engineering
Product Engineering
Large Language Models
Agent Frameworks
LangGraph
LangChain
Multi-Step Agent Workflows
Tool Calling
Conversation State Management
Workflow Mapping
Systems Integration
Customer Communication
Production Deployment
Insurance Technology

Benefits

Equity
Health Benefits
Dental Benefits
Wellness Benefits
Dinner Provided For Late Office Hours
Conference Expenses Covered
Work Tools And Job-Related Expenses Covered

Visa sponsorship

Not detected in the job text

Keywords

Python
Applied Epic
LangGraph
LangChain
Large Language Models
AI Agents
Customer Service
Insurance
Brokerages
Underwriting
Quoting
Policyholder Servicing
Messaging Platforms
Certificate Requests
Policy Changes
Billing Questions
Document Collection
Claims Intake
Workflow Automation
Multi-Step Agent Workflows
Tool Calling
Conversation State Management
Systems Integration
System Of Record
Backend Engineering
Production Deployment
Regulated Industries

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