Agent Builder
About The Position
Agent Builders at hyperexponential help scale the company’s US expansion by turning customer problems into AI agents that are used in everyday insurance work. The role combines engineering and solutions leadership, with frequent customer interaction from the first custom demo through onsite bootcamps, production deployment, and customer expansion. The position involves building agents on real customer problems, helping insurers put them into live business use, and enabling customers to build and extend agents themselves. The role sits within Field Engineering, the technical core of the go-to-market organization. Field Engineering works across product, sales, and customer success, partnering with underwriters, actuaries, IT, and security leaders to design trusted solutions for critical pricing and underwriting decisions. Agent Builders lead technical customer engagements, collaborate with sales and product teams, and share field learnings to inform product development. The broader team works on complex integration and implementation challenges for insurers. hyperexponential (hx) builds an agentic platform for commercial insurance underwriting, bringing together data, models, AI, and human judgment. The company has nearly 300 people across London, New York, and Warsaw, and its platform supports underwriting across more than $75 billion of annual commercial property and casualty premium. The culture emphasizes ownership, high expectations, collaboration, and using AI tools to improve the quality and ambition of work.
Requirements
- At least 3 years of experience writing production Python code for large or regulated businesses.
- Recent, hands-on experience building AI agents and a practice of checking their output before it is relied upon.
- Confidence working with expert, skeptical customers, with examples of customer feedback changing what was built.
- Experience owning outcomes rather than only following specifications.
- Initiative and drive to move work forward without being asked.
- Customer-facing engineering experience at an AI company.
- Public examples of things built.
Nice To Haves
- Insurance, actuarial, or pricing experience (not required; the company will teach it).
Responsibilities
- Run hands-on bootcamps at customer sites, building working AI agents for customers’ real problems in five days.
- Take agent builds live so customers use them to write real business.
- Agree on clear goals with each customer and demonstrate results to support decisions about expansion.
- Train customers’ teams to build agents independently.
- Turn agent builds into reusable components teammates can use.
- Share field learnings with the product team.
- Build and run custom demos for prospective customers alongside sales leads.
- Lead bootcamps and technical conversations with senior underwriters and actuaries.
Benefits
- $6,000 training and conference budget
- Full medical, dental, and vision package
- Mental health support via Spring Health and Rula
- Access to One Medical
- Flexible vacation policy
- Pet discount plans
- Retirement plan (401K)
- Discount programmes
- Top-spec equipment
- Regular remote and in-person hackathons, lunch and learns, socials, and game nights
- Team breakfasts and lunches, snacks, drinks fridge, and WeWork office space
- Exceptional opportunities for personal development and growth
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
