ironquill.tech/board

$ cat jobs/ai-agent-developer-hagerty-c26468fa7bd1.json

AI Agent Developer

hagerty·US·United States·mid
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Say hello to Hagerty Hagerty is a company built by drivers for drivers. We put our members at the center of everything we do and are dedicated to making it easier and more enjoyable for enthusiasts to drive and celebrate the machines they love. We’re proud to be the world’s largest insurer of collectible and enthusiast vehicles and are home to the Hagerty Drivers Club, the world’s largest car club. Our Marketplace business presents live and digital sales across the U.S. and Europe, we host a number of driving events and concours, and our award-winning automotive journalists produce the most popular car magazine globally, alongside internationally awarded videos. We’re committed to Never Stop Driving. Ready to get in the driver’s seat? Join us! As an AI Agent Developer , you will design, build, and continuously improve AI agents that handle real member interactions across the full customer lifecycle: from quoting and binding coverage, to policy service, to first notice of loss and claims. You will own the end-to-end agent development lifecycle on the Sierra platform, scoping agent behavior, designing conversation flows, integrating with Hagerty 's systems, evaluating quality, and iterating relentlessly in production until each agent is the best version of itself. This is a senior individual contributor role. You are expected to operate with autonomy, partner directly with business and technology stakeholders, bring engineering discipline to everything you ship, and drive outcomes that are measurable in member satisfaction, resolution rates, and reduced manual effort. What you’ll do Own the Agent Development Lifecycle Take agents from initial scope through conversation design, tooling, evaluation, launch, and continuous iteration in production. Translate business goals and member needs into agent behaviors that handle complex, high-volume interactions across quoting, policy service, and claims. Define evaluation criteria for each agent, then use those metrics to drive