Senior AI Agent Engineer — Low‑Code Lifecycle Lead

Hagerty Insurance Agency; United States; Hybrid; USD 120,000 - 190,000; Full time

Job summary

Hagerty is seeking an AI Agent Developer to design, build, and continuously improve AI agents for member interactions across quoting, policy service, and claims. You will own end‑to‑end agent development on the Sierra platform, shaping conversation flows, integrating with Hagerty’s systems, and iterating to maximize member satisfaction and reduce manual effort.

The role requires senior individual contributor experience, autonomy, and collaboration with business and technology stakeholders.

Qualifications

• Hands-on experience building or deploying AI/LLM agents in production.
• Ability to read API documentation and understand data models and system architecture.
• Experience with low-code/no-code or declarative platforms and the ability to ramp quickly on new tooling.
• Proficiency consuming and integrating APIs, including authentication patterns and service accounts.

Responsibilities

• Own the Agent Development Lifecycle from scoping to launch and continuous improvement.
• Translate business goals into agent behaviors for high‑volume interactions across quotes, policy service, and claims.
• Define evaluation criteria and drive improvements in resolution rates and member satisfaction.
• Coordinate across technical and non‑technical stakeholders throughout the build and release process.

Skills

AI agents

Conversation design

API integration

No-code platforms

CI/CD experience

Education

Bachelor's degree in CS or related field

Tools

Sierra platform

LLM tooling

Job description

Hagerty is seeking an AI Agent Developer to design, build, and continuously improve AI agents for member interactions across quoting, policy service, and claims. You will own end‑to‑end agent development on the Sierra platform, shaping conversation flows, integrating with Hagerty’s systems, and iterating to maximize member satisfaction and reduce manual effort.

The role requires senior individual contributor experience, autonomy, and collaboration with business and technology stakeholders.