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.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.
