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MTS: Forward Deployed AI Engineer

Toronto, ON
On-site
Posted Sep 26, 2026
1 position

US$120,000+ / year

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 2+ years
Posting language: English
Working hours: 40 hours per week

Job summary

You will embed with insurance brokerages to understand their workflows and design AI agents that automate servicing tasks like billing and claims. You will also integrate these agents into existing systems of record to ensure seamless end-to-end resolution of customer requests.

Job details

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. 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. 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. Job Id: aP36ogNQQpknhhhGY0NLDWCXe3b8k2Lk6V2Kqb4aN5HZnpYm8sr+re0e6sqj6KTqppMDGNTMRUGA6z279qtkphnKe+JrVT38vQ==

What you’ll do

Requirements

The role requires at least 2 years of engineering experience with strong Python skills and backend development expertise. Candidates must have experience building with LLMs and agent frameworks, along with the ability to communicate effectively with customers.