Production AI Engineer for Insurance Platforms

QuoteWell, Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salaries + equity

Medical, Dental, Vision + FSA/HSA

Flexible vacation

One Medical membership

401K (Roth & Traditional)

Parental leave & family benefits

Home office reimbursements

Job summary

QuoteWell, Inc. in Austin is seeking engineers to scale an AI-powered brokerage platform for the insurance industry. You will work on workflows that ensure reliability, auditability, and governance while embedding AI into critical broker processes.

You will partner with Engineering, Product, and Design to deliver production‑ready features that balance automation with human judgment, driving accuracy and trust across submissions, renewals, and follow‑ups.

Qualifications

• 1–5 years shipping production software (Python and/or TypeScript).
• CS degree typical; talented dropouts welcome.
• Hands‑on experience with modern AI application patterns or the aptitude to learn fast.
• Ability to troubleshoot, scope work, and discuss solutions with stakeholders.
• Genuine interest in insurance as a complex industry and willingness to travel.

Responsibilities

• Build governed AI workflows—integrating with AMS, carrier portals, email, and agency systems.
• Identify parts of operations that can be system-governed without losing essential human judgment.
• Design review, attribution, and override patterns for a regulated business.
• Provide field signals back to Engineering, Product, and Design to enable scalable platform growth.

Skills

Python

TypeScript

Production software

Education

CS degree

Job description

QuoteWell, Inc. in Austin is seeking engineers to scale an AI-powered brokerage platform for the insurance industry. You will work on workflows that ensure reliability, auditability, and governance while embedding AI into critical broker processes.

You will partner with Engineering, Product, and Design to deliver production‑ready features that balance automation with human judgment, driving accuracy and trust across submissions, renewals, and follow‑ups.