Forward Deployed Engineer

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

About the role

We're building an AI operating system for insurance brokerages. Our agents handle the full service stack: quotes, renewals, endorsements, intake, and claims triage, trained on carrier guidelines, appetite guides, and underwriting manuals, and wired directly into the systems brokers already run on. The goal is to give every brokerage the capacity of a team twice its size, without adding headcount.

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

  • Competitive salary of $150 to $250k and meaningful equity in an early-stage company.

  • 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.