Forward Deployed AI Engineer

Job summary

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.

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.

What you’ll do

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.

Benefits

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

Listed skills

• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• 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

Job areas

• Software
• Technology
• Engineering
• Customer Service & Support
• Finance & Accounting