AI Systems Architect
- Role
- Unknown
- Employment
- Full-time
The listing doesn't say where it hires from. Check the description or the employer's site before applying.
No BS summary
We are building the first AI-powered advisor to manage all your physical assets. We started with the car in 2019, now we’re expanding into new verticals and accelerating our growth. Our own infrastructure automates sales and service conversations and handles over 70% of inbound sales and service requests: more than 50,000 chats a month, in production, at scale.
Core skills
Required skills
WHY YOU SHOULD JOIN US?
- Join a YC-backed, profitable Series C startup with capital with 5M+ customers
- Own the AI systems layer of a consumer product used by millions — LLMs, agents, and internal APIs applied to a fragmented $2T market.
- Work with partners like OpenAI to integrate Jerry.
- Flat org, ambitious goals, and a direct line to the founders and execs.
THE TECHNICAL CHALLENGE:
The interesting problems aren't in the prompt anymore. They're in the system around it: what the agents are allowed to do, how the pieces fit together, where the guardrails go, and what 'correct' even means when the output isn't deterministic.
We are building the first AI-powered advisor to manage all your physical assets. We started with the car in 2019, now we’re expanding into new verticals (e.g. home, motorcycle, RV, boat) and accelerating our growth.
Before off-the-shelf platforms existed, we built our own infrastructure to automate sales and service conversations. That system now handles over 70% of inbound sales and service requests: more than 50,000 chats a month, in production, at scale.
That head start gave us real leverage, and it's outgrown ad hoc ownership. We need someone who can run a fast-moving, high-volume chatbot operation day to day and has a real point of view on the next bets: voicebot, computer use, consumer AI applications.
WHAT YOU'LL ACTUALLY DO:
- Decide what we build next in AI, and make the case for it. Nobody hands you a roadmap.
- Partner with OpenAI to evaluate and deploy next-generation voice models and workflow automation.
- Evaluate emerging AI technology (voicebot, computer use agents, and beyond), prototype what's worth building, and make the call on what we invest in next.
- Design evaluation frameworks and guardrails, and make the real tradeoffs between latency, cost, and accuracy in a regulated production environment.
- 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).
- Work directly with subject matter experts to turn domain knowledge into systems that behave correctly.
IDEAL EXPERIENCE:
- 3+ years in a product engineering or forward deployed engineering, ideally in an early stage startup
- A track record of turning ambiguous problems into systems that actually run
- Hands-on experience putting LLM-based systems into production, including the unglamorous parts: evals, regressions, latency, cost, and failure handling
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. 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 recruiting@getjerry.com
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 s
What you'll do
- Decide what we build next in AI, and make the case for it. Nobody hands you a roadmap.
- Partner with OpenAI to evaluate and deploy next-generation voice models and workflow automation.
- Evaluate emerging AI technology (voicebot, computer use agents, and beyond), prototype what's worth building, and make the call on what we invest in next.
- Design evaluation frameworks and guardrails, and make the real tradeoffs between latency, cost, and accuracy in a regulated production environment.
- 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).
- Work directly with subject matter experts to turn domain knowledge into systems that behave correctly.
- Set, the technical bar for our chatbot systems — shape what the prompt engineering team builds next and keep the architecture sound as it scales.
What they require
- 3+ years in a product engineering or forward deployed engineering, ideally in an early stage startup
- A track record of turning ambiguous problems into systems that actually run
- Hands-on experience putting LLM-based systems into production, including the unglamorous parts: evals, regressions, latency, cost, and failure handling
- A systems designer. You think in interfaces, failures, and blast radius. You've been the person who redesigned something messy rather than working around it.
- Fluent in modern AI. You read the release notes when a new model drops and you've already built something with it. You have opinions about eval design, and they came from doing it.
- Pragmatic. You know when to build the durable thing and when to ship the version that’s this quarter.
- 3+ years in a product engineering or forward deployed engineering, ideally in an early stages startup.
- A track record of turning ambiguous problems into systems that actually run.
- Hands-on experience putting LLM-based systems into production, including the unglamorous: parts, evals, regressions, latency, cost, and failure handling.
Benefits
- health
- dental
- vision coverage
- paid time off
- paid parental leave
- 401(K) plan with employer matching
- wellness benefits
- equity opportunities
- health, dental, vision coverage
- equity grants opportunities
Jerry.ai built the first app to manage it all: insurance shopping, refinancing, safety, and repairs—bringing an unexpected level of warmth and speed to an industry stuck in the past. Since launching in 2019, we’ve grown to over 5M customers. 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're fully remote with offices in Palo Alto, New York, Chicago, and Toronto.
What people say about this company
3.9/ 5