Forward Deployed Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original 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
As a Forward Deployed Engineer, you sit at the customer boundary. You'll work directly with brokers and carriers to turn messy, ambiguous insurance workflows into working AI automations, get them into production, and iterate fast with users in the loop.
In this role, you will
Embed with customers to understand how their work actually gets done
Break vague asks like "automate our renewals" into a clear, scoped plan
Build multi-step AI workflows using agents, tools, APIs and browser automation
Deploy to production, write evals for the outcomes that matter, and monitor real usage
Run customer conversations, manage expectations and drive adoption
For this role, you should have
A track record of shipping AI workflows end to end, not just demos
Hands-on experience with frameworks like LangChain or LangGraph, agentic tools and APIs
Comfort with ambiguity and a habit of turning it into a plan
Clear communication with non-technical stakeholders
Experience writing evals and running production deployments
Nice to have
Insurance or insurtech background
Fine-tuning experience
$120-200k, equity, new MacBook Pro and more.
More about this job
Responsibilities
You will embed with customers to transform complex insurance workflows into automated AI solutions. This involves building multi-step agentic workflows, deploying them to production, and iterating based on real-world usage.
Requirements
Candidates must have a proven track record of shipping end-to-end AI workflows and hands-on experience with frameworks like LangChain or LangGraph. Strong communication skills are required to manage customer expectations and translate ambiguous business needs into technical plans.
Skills
- AI workflows
- LangChain
- LangGraph
- Agentic tools
- APIs
- Browser automation
- Production deployment
- Evals
- Customer communication
- Stakeholder management
- Automation
- Insurance workflows
Benefits
- Equity
- New MacBook Pro
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Finance & Accounting
Keywords
- AI agents
- Insurance software
- Automation
- LangChain
- LangGraph
- APIs
- Browser automation
- Production deployment
- Evals
- Insurtech
- Fine-tuning
- Forward Deployed Engineer
- Software engineering
- Customer success
- Workflow automation
- Radical Ventures
- a16z