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AI Product Engineer

  • Arizona, United States, California, United States, Colorado, United States, Florida, United States, Georgia, United States, Illinois, United States, Massachusetts, United States, Nevada, United States, New Jersey, United States, New York,…
  • Remote
  • Posted Sep 2, 2026
  • 1 position

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Employment type
Full-time
Experience level
Senior · 5+ years
Apply by
Oct 2, 2026
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Toronto, Ontario, Canada
Seniority
Mid-Senior level

Job summary

Lead the development of next-generation AI systems, focusing on automating insurance quoting and document validation. You will evaluate emerging AI technologies and partner with OpenAI to deploy advanced voice models and workflow automations.

Job details

Why You Should Join Us Jerry.ai is a profitable, Series C, YC-backed tech startup with 5M+ customers and $240M in funding. We’re building the first AI-powered advisor to manage all your physical assets. We started with car insurance in 2019, now we’re expanding into new verticals (e.g. home, motorcycle, RV, boat) and accelerating our growth. The opportunity is massive — car insurance alone is a $300B market in the U.S. We spent the last few years building our supply (we work with 100+ insurance carriers) and our technical infrastructure (60% of policies today are sold automatically without human intervention, 90% of inbound customer inquiries are resolved via AI and automation). The next chapter is about accelerating our growth — going from 5M to 50M customers by 2030. The Technical Challenge Our insurance marketplace is our core product today, and our ability to automate the end-to-end shopping experience is our core differentiator. The AI & Automation team owns the most critical part of that – how we automate the entire insurance quoting experience for our customers and orchestrate complex, multi-step transactions with external insurance provider systems to finalize policy purchases. Before off-the-shelf AI agents existed, we built our own proprietary infrastructure to scale automated insurance purchases and customer support. Today, 60% of insurance policies are sold automatically without human intervention, and 78% of inbound customer inquiries are resolved via AI and automation, with 83% reporting a positive experience. Our current system is working but our use cases are rapidly growing as our business expands beyond car insurance and available AI models are also evolving. We need someone to lead the charge in building our “next generation” AI system, including building new automations for things like document validation (drivers’ licenses, proof of insurance, etc), voicebot expansion into stateful, phone-based interactions, and enable our bots to have direct external system navigation to resolve complex issues more quickly and accurately than human agents. What You’ll Own Set the technical bar for our chatbot systems — shape what the prompt engineering team builds next and keep the architecture sound as it scales. Build new automations across areas like record disputes, email/callout reduction, document validation (ex. licenses, proof of insurance). Evaluate emerging AI technology (voicebot, computer use agents, and beyond), make the call on what we invest in next, build and ship to production. Partner with OpenAI to evaluate and deploy next-generation voice models and workflow automation. Who You Are 5+ years in software engineering, ideally at an early-stage startup where you owned outcomes end-to-end. You are a builder. You don't need someone else to write the spec. Real, hands-on depth with AI: you've built with a new model within days of its release, and you can explain why one architecture or approach beats another — not just point at a demo. Experience putting LLM-based systems into production, including the unglamorous parts: evals, regressions, latency, cost, and failure-handling. Our tech stack: TypeScript (Nest.js, React), GraphQL, AWS (ECS/EKS, Lambda), LLM models (OpenAI, Anthropic Claude, Google Gemini) While we appreciate your interest and application, due to the volume of applications we receive, only applicants under consideration will be contacted. Please note: Jerry.ai is only able to hire full-time salaried employees who currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada, and full-time hourly employees who currently reside in AZ, FL, GA, NV, NY, NC, TN, TX, UT, or VA. Unfortunately, we cannot accept applications from candidates residing elsewhere at this time. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Your car and your home are your most expensive assets. And for most people, these aren't just purchases, they're the physical embodiment of the life you've worked hard to build. Yet the experience of owning them is stuck in the 90s. Every step of the journey — buying, insuring, maintaining, repairing, selling — is fragmented, complicated, and expensive. Imagine having a trusted friend in your pocket who takes care of everything: they find you the right car or home at the right price, lock in the best insurance rate without you lifting a finger, remind you before that service appointment turns into an expensive repair or, worse, an accident, and help you sell at the best price when the time is right. That friend is Jerry. Jerry is building the first AI agent to manage all your physical assets. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, and have been profitable since 2024. We're now expanding into home, motorcycle, RV, and beyond. We’re fully remote with offices in Palo Alto, New York, Chicago, and Toronto.

What you’ll do

Lead the development of next-generation AI systems, focusing on automating insurance quoting and document validation. You will evaluate emerging AI technologies and partner with OpenAI to deploy advanced voice models and workflow automations.

Requirements

Requires 5+ years of software engineering experience, preferably in early-stage startups with a strong track record of building and deploying LLM-based systems. Must have hands-on depth with AI models and experience managing production challenges like latency, cost, and evals.

Benefits

• Health Insurance • Dental Insurance • Vision Insurance • Paid Time Off • Paid Parental Leave • 401(k) Plan With Employer Matching • Wellness Benefits • Equity Grants

Listed skills

  • React · Preferred
  • TypeScript · Preferred
  • Amazon Web Services · Preferred
  • prompt engineering · Preferred
  • GraphQL · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • TypeScript
  • Nest.js
  • React
  • GraphQL
  • AWS
  • ECS
  • EKS
  • Lambda
  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Prompt Engineering
  • LLM Production
  • Software Engineering
  • AI Architecture
  • Voicebot Development

Job areas

  • Software
  • Technology
  • Engineering
  • Data & Analytics

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