The Role:You'll be one of a small group of AI Engineers. You'll work directly with underwriters and operations staff. You'll adapt the products we already run to their needs, and build new ones where nothing fits.
This role leans toward infrastructure: deploying, running and securing the systems our AI applications depend on. Everyone on the team also builds applications and works with data. Three senior AI engineers review your work and teach you along the way.
Requirements:- A bachelor's degree in computer science, computer engineering, information technology or a related field
- 0-4 years of experience, including internships and co-ops
- Strong Python and working SQL
- Comfort with Linux, the command line and at least one major cloud platform
- Work you built yourself and can show us. For this role, that means one or more of:
- An application you deployed and kept running in the cloud
- A data pipeline or system integration
- Monitoring, testing or reliability controls for an app or model
- Containerized or automated deployments, such as Docker or a CI/CD pipeline
- Curiosity about how the business runs, and the patience to learn insurance from the people who know it
- Clear communication with non-technical colleagues
Our Benefits Include:- 100% employer-paid medical, dental, and vision insurance for employees.
- 401(k) plan with 100% immediate vesting and a 4% company match.
- Paid time off (PTO) and paid holidays.
- Life, disability, critical illness and accident insurance.
- Employee Assistance Program (EAP).
- Pre-tax Flexible Spending Accounts for health, dependent care, and commuter-related expenses.
- Tuition reimbursement.
- Fitness reimbursement and various additional quality-of-life benefits.
$100,000 - $120,000 a year
Varies on experience.
How to applyApply through this posting with your résumé and a link to your GitHub, a deployed app or a portfolio. We review portfolios first. If you're shortlisted, you'll walk one of our senior engineers through a project you built and the choices you made.
