AI Systems Architect

🔥 0 minutes ago

🌐 United States, Canada – Remote

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🌵 Arizona, California, +13 more states – Remote

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💵 $130k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 3%

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Logo of Jerry

Jerry

201 - 500 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Jerry is an innovative platform that simplifies car ownership by providing tools to compare car insurance, loans, and repair estimates. With services such as PriceProtect™, GarageGuard™, and DriveShield™, Jerry helps users secure better insurance rates, manage car loans, and track vehicle maintenance and repairs. It utilizes advanced technology to provide users with a streamlined insurance shopping experience, offer car diagnostic services, and reward safe driving habits. Jerry is a licensed insurance and loan broker, operating across all 50 U. S. states, and is committed to protecting user data with bank-level encryption.

📋 Description

• Decide what to build next in AI and make the business and technical case • Partner with OpenAI to evaluate and deploy next-generation voice models and workflow automation • Evaluate emerging AI technologies, prototype promising opportunities, and determine investment priorities • Design evaluation frameworks and guardrails for regulated production environments • Balance latency, cost, and accuracy in AI systems • Set the technical bar and architecture direction for chatbot systems • Guide prompt engineering priorities and maintain scalable architecture • Build automations for record disputes, email/callout reduction, and document validation • Work with subject matter experts to convert domain knowledge into reliable systems • Operate and scale chatbot systems handling over 50,000 chats monthly and more than 70% of inbound sales and service requests

🎯 Requirements

• 3+ years in product engineering or forward deployed engineering, ideally in an early-stage startup • Track record of turning ambiguous problems into systems that run in production • Hands-on experience putting LLM-based systems into production • Experience with evaluations, regressions, latency, cost, and failure handling • Modern AI expertise, including emerging models and AI capabilities • Knowledge of evaluation design, guardrails, and tradeoffs between latency, cost, and accuracy • Systems design experience, including interfaces, failure modes, and blast radius • Ability to evaluate and prototype voicebots, computer-use agents, and consumer AI applications • Ability to work full-time as a salaried employee while residing in an eligible U.S. state or Ontario, Canada • Legal authorization to work in the U.S. or Canada • LinkedIn profile URL and resume required for application

🏖️ Benefits

• Equity opportunities / stock options • Health coverage • Dental coverage • Vision coverage • Paid time off • Paid parental leave • 401(k) plan with employer matching (U.S.) • RRSP plan with employer matching (Canada) • Wellness benefits • Fully remote work • Access to offices in Palo Alto, New York, Chicago, and Toronto • Equal Employment Opportunity • Reasonable accommodations during the application process

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