{"schemaVersion":"jobsearcher.job.v1","id":"db1ae54c99bc79a991eedbbe","url":"https://jobsearcher.com/jobs/db1ae54c99bc79a991eedbbe","canonicalUrl":"https://jobsearcher.com/jobs/db1ae54c99bc79a991eedbbe","title":"AI Agent Developer","description":"Say hello to Hagerty\nHagerty 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!\nAs 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.\nWhat you’ll do\nOwn the Agent Development Lifecycle\nTake agents from initial scope through conversation design, tooling, evaluation, launch, and continuous iteration in production.\nTranslate business goals and member needs into agent behaviors that handle complex, high-volume interactions across quoting, policy service, and claims.\nDefine evaluation criteria for each agent, then use those metrics to drive improvement in resolution rates and member satisfaction.\nCoordinate across technical and non-technical stakeholders throughout the full build-and-launch process.\nDesign and Build High-Quality Agents\nDesign and build conversational AI agents on the Sierra platform — expressing goals, procedural knowledge, and deterministic guardrails for regulated or high-stakes interactions.\nDevelop and refine conversational flows, rewrite prompts, and run simulations to tune agent behavior against real member scenarios — edge cases, tone, brand voice, and accuracy all matter.\nIntegrate agents with Hagerty's internal systems and APIs (policy administration, quoting engines, claims platforms) using appropriate authentication patterns and service accounts.\nBuild and maintain immutable agent release snapshots — including model version dependencies, knowledge bases, and prompts — following established release and engineering standards.\nApply engineering discipline in a no-code/low-code and declarative platforms: practical logging, error handling, monitoring, automated testing, and regression coverage for critical agent workflows.\nValidate data accuracy in agent outputs, build reconciliation and anomaly checks where outcomes touch financial or policy data, and raise issues early.\nDrive Continuous Quality and Improvement\nEstablish and run structured quality assurance processes — regularly auditing live conversations, annotating agent behavior, and converting findings into regression tests.\nUse annotated conversations to build a growing test suite that prevents regressions across model upgrades, prompt changes, and platform updates.\nMonitor agent performance in production, respond to incidents, and iterate rapidly based on usage signals, member feedback, and business outcomes.\nParticipate in on-call production support, sharing responsibility for incident response and agent reliability.\nShape How Hagerty Builds with AI\nAct as a trusted internal advisor on AI agent strategy — contributing data-driven insights on what's working, where agents can expand, and how to push the platform further.\nIdentify and champion new agent use cases across the member lifecycle as the technology and Hagerty's capabilities evolve.\nContribute to team engineering standards, reusable integration patterns, and secure-by-default guardrails for agent development.\nThis Might Describe You\nAI Agent & Technical Experience\nHands-on experience building or deploying AI/LLM agents in production — including prompt engineering, eval frameworks, RAG, and agent tooling.\nStrong technical aptitude: comfortable reading API documentation, understanding data models and system architecture, and engaging in engineering tradeoff discussions.\nExperience with low-code/no-code or declarative platforms and the ability to ramp quickly on new tooling.\nProficiency consuming and integrating APIs, including authentication patterns and working with service accounts.\nEngineering Discipline\nA degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience or comparable experience at the intersection of technology and business.\nExperience applying engineering-quality practices to no-code/low-code development: automated testing where possible, regression coverage for workflows, monitoring and alerting for critical paths.\nExperience with CI/CD, release management, and deployment promotion practices (dev/test/prod), including versioning and rollback awareness.\nStrong security posture: least-privilege access, secrets management, auditability, and compliant handling of sensitive member data.\nAbility to design solutions with clear inputs, outputs, and predictable behavior — built to be maintained and observed over time.\nDelivery & Stakeholder Leadership\nProven ability to own complex, high-visibility projects end-to-end — from scoping and stakeholder alignment through production launch and continuous improvement.\nExcellent verbal and written communication skills; able to explain technical concepts clearly to non-technical partners and drive alignment across teams.\nStrong analytical and problem-solving skills — able to identify risks, develop mitigation strategies, and handle unexpected challenges autonomously.\nExperience working at the intersection of technology and business operations, with a track record of delivering measurable outcomes.\nNice to Have\nExperience in insurance, financial services, or another regulated industry.\nFamiliarity with telephony platforms and voice agent development.\nBackground in conversational design, customer experience, or contact center operations.\nOther things to note\nThis position is open to U.S. remote work. However, team members who reside within 20 miles of the Traverse City headquarters will follow a hybrid schedule, working from the office three days per week.\nMay require travel for quarterly events.\nFamiliarity with public company requirements, including Sarbanes Oxley and key regulations, if applicable. For SOX compliant roles, responsible for designing, executing, and documenting internal controls where they have been identified as owners to prevent errors in financial reporting, processes, and business operations. Including attestation to the completeness, accuracy, and compliance of all financial reporting data, where applicable.\nIf you reside in the following jurisdictions: Illinois, Colorado, California, District of Columbia, Hawaii, Maryland, Minnesota, Nevada, New York, or Jersey City, New Jersey, Cincinnati or Toledo, Ohio, Rhode Island, Washington, British Columbia, Canada please email recruiting@hagerty.com for compensation, comprehensive benefits and the perks that set us apart.\nAt Hagerty, we share the road. We are an inclusive automotive community where all are welcomed, valued and belong regardless of race, gender, age, or car preference. We are united by our shared passion for driving, our commitment to preserve car culture for future generations and our desire to make a positive impact in the world.\n#LI-Remote\nEEO/AA","company":"Hagerty","rawCompany":"hagerty","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-13T15:21:14.493Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-2141.02","title":"Automotive Engineers","slug":"automotive-engineers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"524210","title":"Insurance Agencies and Brokerages","slug":"insurance-agencies-and-brokerages"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Agent Developer","description":"Say hello to Hagerty\nHagerty 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!\nAs 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.\nWhat you’ll do\nOwn the Agent Development Lifecycle\nTake agents from initial scope through conversation design, tooling, evaluation, launch, and continuous iteration in production.\nTranslate business goals and member needs into agent behaviors that handle complex, high-volume interactions across quoting, policy service, and claims.\nDefine evaluation criteria for each agent, then use those metrics to drive improvement in resolution rates and member satisfaction.\nCoordinate across technical and non-technical stakeholders throughout the full build-and-launch process.\nDesign and Build High-Quality Agents\nDesign and build conversational AI agents on the Sierra platform — expressing goals, procedural knowledge, and deterministic guardrails for regulated or high-stakes interactions.\nDevelop and refine conversational flows, rewrite prompts, and run simulations to tune agent behavior against real member scenarios — edge cases, tone, brand voice, and accuracy all matter.\nIntegrate agents with Hagerty's internal systems and APIs (policy administration, quoting engines, claims platforms) using appropriate authentication patterns and service accounts.\nBuild and maintain immutable agent release snapshots — including model version dependencies, knowledge bases, and prompts — following established release and engineering standards.\nApply engineering discipline in a no-code/low-code and declarative platforms: practical logging, error handling, monitoring, automated testing, and regression coverage for critical agent workflows.\nValidate data accuracy in agent outputs, build reconciliation and anomaly checks where outcomes touch financial or policy data, and raise issues early.\nDrive Continuous Quality and Improvement\nEstablish and run structured quality assurance processes — regularly auditing live conversations, annotating agent behavior, and converting findings into regression tests.\nUse annotated conversations to build a growing test suite that prevents regressions across model upgrades, prompt changes, and platform updates.\nMonitor agent performance in production, respond to incidents, and iterate rapidly based on usage signals, member feedback, and business outcomes.\nParticipate in on-call production support, sharing responsibility for incident response and agent reliability.\nShape How Hagerty Builds with AI\nAct as a trusted internal advisor on AI agent strategy — contributing data-driven insights on what's working, where agents can expand, and how to push the platform further.\nIdentify and champion new agent use cases across the member lifecycle as the technology and Hagerty's capabilities evolve.\nContribute to team engineering standards, reusable integration patterns, and secure-by-default guardrails for agent development.\nThis Might Describe You\nAI Agent & Technical Experience\nHands-on experience building or deploying AI/LLM agents in production — including prompt engineering, eval frameworks, RAG, and agent tooling.\nStrong technical aptitude: comfortable reading API documentation, understanding data models and system architecture, and engaging in engineering tradeoff discussions.\nExperience with low-code/no-code or declarative platforms and the ability to ramp quickly on new tooling.\nProficiency consuming and integrating APIs, including authentication patterns and working with service accounts.\nEngineering Discipline\nA degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience or comparable experience at the intersection of technology and business.\nExperience applying engineering-quality practices to no-code/low-code development: automated testing where possible, regression coverage for workflows, monitoring and alerting for critical paths.\nExperience with CI/CD, release management, and deployment promotion practices (dev/test/prod), including versioning and rollback awareness.\nStrong security posture: least-privilege access, secrets management, auditability, and compliant handling of sensitive member data.\nAbility to design solutions with clear inputs, outputs, and predictable behavior — built to be maintained and observed over time.\nDelivery & Stakeholder Leadership\nProven ability to own complex, high-visibility projects end-to-end — from scoping and stakeholder alignment through production launch and continuous improvement.\nExcellent verbal and written communication skills; able to explain technical concepts clearly to non-technical partners and drive alignment across teams.\nStrong analytical and problem-solving skills — able to identify risks, develop mitigation strategies, and handle unexpected challenges autonomously.\nExperience working at the intersection of technology and business operations, with a track record of delivering measurable outcomes.\nNice to Have\nExperience in insurance, financial services, or another regulated industry.\nFamiliarity with telephony platforms and voice agent development.\nBackground in conversational design, customer experience, or contact center operations.\nOther things to note\nThis position is open to U.S. remote work. However, team members who reside within 20 miles of the Traverse City headquarters will follow a hybrid schedule, working from the office three days per week.\nMay require travel for quarterly events.\nFamiliarity with public company requirements, including Sarbanes Oxley and key regulations, if applicable. For SOX compliant roles, responsible for designing, executing, and documenting internal controls where they have been identified as owners to prevent errors in financial reporting, processes, and business operations. Including attestation to the completeness, accuracy, and compliance of all financial reporting data, where applicable.\nIf you reside in the following jurisdictions: Illinois, Colorado, California, District of Columbia, Hawaii, Maryland, Minnesota, Nevada, New York, or Jersey City, New Jersey, Cincinnati or Toledo, Ohio, Rhode Island, Washington, British Columbia, Canada please email recruiting@hagerty.com for compensation, comprehensive benefits and the perks that set us apart.\nAt Hagerty, we share the road. We are an inclusive automotive community where all are welcomed, valued and belong regardless of race, gender, age, or car preference. We are united by our shared passion for driving, our commitment to preserve car culture for future generations and our desire to make a positive impact in the world.\n#LI-Remote\nEEO/AA","datePosted":"2026-08-13T15:21:14.493Z","dateModified":"2026-08-13T15:21:14.493Z","hiringOrganization":{"@type":"Organization","name":"Hagerty","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"db1ae54c99bc79a991eedbbe"},"url":"https://jobsearcher.com/jobs/db1ae54c99bc79a991eedbbe"}}