Agent Builder
hyperexponential3 days ago
New York, NY, USAMid Level
Base Salary
$160k - $190k/yr
Responsibilities
- Run hands-on five-day bootcamps at customer sites and build working AI agents for customers’ real problems.
- Take customer agent builds live so they can support real business and underwriting activity.
- Define customer goals, demonstrate results, and support expansion decisions.
- Train customers’ teams to build on their own and turn successful builds into reusable components.
- Share customer and field insights with the product team.
- Build custom demos with sales leads and lead technical discussions with senior underwriters and actuaries.
Requirements
- At least 3 years of experience writing production Python code for large or regulated businesses.
- Recent hands-on experience building AI agents and validating their output before production reliance.
- Confidence working with expert, skeptical customers and evidence that customer feedback has influenced delivered solutions.
- Experience owning outcomes, driving work independently, and delivering customer-facing engineering at an AI company.
- Public examples of things built.
- Insurance, actuarial, or pricing experience is not required and can be learned on the job.
Benefits
- $6,000 training and conference budget.
- Full medical, dental, and vision coverage.
- Mental health support through Spring Health and Rula.
- Access to One Medical.
- Flexible vacation policy.
- Pet discount plans, a retirement plan (401K), and discount programmes.
- Top-spec equipment.
- Remote and in-person hackathons, lunch and learns, socials, game nights, team breakfasts and lunches, snacks, drinks, and WeWork office space.
- Personal development and growth opportunities.
Tech Stack
Categories
Forward DeployedSolutions Engineering
About hyperexponential
hyperexponential builds an AI-driven underwriting and pricing platform for commercial property and casualty insurers, used by underwriters, actuaries, and portfolio leaders. The SaaS system governs decision logic, models complex risks, and plugs into carrier workflows; top global carriers use it for underwriting decisions across $75B+ in annual premium. Founded in 2017 and headquartered in London, the company is privately held.