AI Systems Architect

Jerry
New York, Chicago, Boston, San Francisco
Workplace: RemoteFull timeUSD 130,000 - 170,000 annuallyFunction: Software EngineeringExperience: 3+ yearsSkills: ["Making tradeoffs","Problem-solving","Systems thinking","Cross-functional collaboration"]

Own the AI systems layer for a consumer product used by millions, including LLMs, agents, and internal APIs. Shape what to build next, evaluate and deploy next-generation voice models with OpenAI, and prototype emerging AI like voicebots and computer-use agents. Build evaluation frameworks, guardrails, and production tradeoffs across latency, cost, and accuracy while ensuring the architecture scales and behaves correctly with real-world failure handling.

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FursaFursa
Jerry
Jerry
2 days ago

AI Systems Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Own the AI systems layer for a consumer product used by millions, including LLMs, agents, and internal APIs. Shape what to build next, evaluate and deploy next-generation voice models with OpenAI, and prototype emerging AI like voicebots and computer-use agents. Build evaluation frameworks, guardrails, and production tradeoffs across latency, cost, and accuracy while ensuring the architecture scales and behaves correctly with real-world failure handling.
Location: New York, Chicago, Boston, San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Decide what to build next in AI and present the business/technical case.
  • •Partner with OpenAI to evaluate and deploy next-generation voice models and workflow automation.
  • •Evaluate emerging AI technologies (voicebot, computer-use agents, and more), prototype, and decide where to invest.
  • •Design evals, guardrails, and architectures that balance latency, cost, and accuracy in regulated production.
  • •Set the technical bar for chatbot systems and support domain experts in turning knowledge into correctly behaving systems.

Pay and Benefits

Salary: USD 130,000 - 170,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid LeaveParental Leave401kWellness Stipend

Key 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 actually run.
  • •Hands-on experience putting LLM-based systems into production, including evals, regressions, latency, cost, and failure handling.
  • •Ability to make the case for what to build next when no roadmap is provided.
  • •Experience evaluating and deploying next-generation AI systems in a production environment with real tradeoffs.
Experience:3+ yearsEarly stage startupsLLM productionChatbotsAI agentsConsumer AI
Skills:Making tradeoffsProblem-solvingSystems thinkingCross-functional collaboration
Tech Stack:LLMsAgentsInternal APIsOpenAIChatGPT AppVoicebotComputer useChatbotEvaluation frameworksRegressions

Company Brief

Jerry
Provides an AI-powered AllCarâ„¢ app that helps U.S. drivers compare and buy car insurance, manage maintenance and repairs, refinance loans, and access other car-ownership services through automated, data-driven workflows.
Industry: InsurTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: USD 250M to 500M
Funding: Series C
Headquarters: Palo Alto, United States
Founded: 2017
Glassdoor
Glassdoor: 4.0
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