Closed listing
Forward Deployed AI Engineer
- Toronto, ON, Canada
$120k+ base salary, benchmarked to market and scaled with experience. · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $120k+ base salary, benchmarked to market and scaled with experience.
- Job type
- Full-time
- Closing date
- Experience
- 2+ years of engineering experience building products real people use.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Forward Deployed AI Engineer
Sit with brokers, learn how their work really happens, and ship the agents that do it for them.
Apply now
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.
- 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.
- $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.
More about this job
Responsibilities
Build and deploy Ava, a customer-facing AI servicing agent that resolves policyholder requests through messaging, including certificates, policy changes, billing questions, document collection, and claims intake. Work directly with brokers to map workflows, integrate the agent with systems such as Applied Epic, ensure a high-quality customer experience, and feed deployment learnings into the core product.
Requirements
Requires at least two years of engineering experience building products used by real people, strong Python skills, solid backend instincts, and clear communication. Candidates should have experience building LLM-powered agents and multi-step workflows using tools such as LangGraph or LangChain; insurance experience is a plus, not a requirement.
Skills
- Python
- Backend Engineering
- Large Language Models
- LangGraph
- LangChain
- Agent Workflow Design
- Tool Calling
- Conversation State Management
- Customer Communication
- Workflow Mapping
- Production Deployment
- Systems Integration
- Applied Epic
- Insurance Servicing
Benefits
- Equity
- Health Benefits
- Dental Benefits
- Wellness Benefits
- Dinner Coverage For Late Office Hours
- Conference And Work-Related Expense Coverage
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Customer Service & Support
- Finance & Accounting
Keywords
- Python
- Large Language Models
- LangGraph
- LangChain
- AI Agents
- Agent Frameworks
- Multi-Step Workflows
- Tool Calling
- Conversation State Management
- Backend Engineering
- Customer Service
- Insurance
- Brokerages
- Underwriting
- Quoting
- Policyholder Requests
- Messaging Platforms
- Workflow Mapping
- Production Deployment
- Systems Integration
- Applied Epic
- System Of Record
- Policy Changes
- Billing
- Document Collection
- Claims Intake
- Regulated Industries