Lead AI & Automation Architect

Jerry

Chicago (IL)

On-site

USD 150,000 - 230,000

Full time

12 hours ago
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Benefits offered by this job

Equity opportunities
Health, dental, and vision coverage
Paid time off
Parental leave
401(k) matching
Wellness benefits

Job summary

Jerry.ai is building the first AI-powered advisor to manage all your physical assets. You will lead the AI agents and automation system, scaling the end-to-end insurance quoting experience with external carrier systems and stateful voice interactions.

The role emphasizes building production-grade LLM-based solutions and collaborating with OpenAI for next-gen voice models. You will evaluate emerging AI technology, shape what to invest in next, and drive production readiness including evals,

Qualifications

  • 5+ years in software engineering, ideally at an early-stage startup
  • Experience putting LLM-based systems into production, including evals, latency, cost and failure handling
  • Experience evaluating and deploying voice models and workflow automation

Responsibilities

  • Own the AI agents and automation system architecture
  • Build new automations for document validation and transaction orchestration
  • Evaluate emerging AI tech and decide investments and production readiness
  • Partner with OpenAI to deploy next-generation voice models and automation

Skills

Software engineering
LLM-based systems
OpenAI integration
Voice models
Document validation
Workflow automation

Tools

TypeScript
GraphQL
AWS
OpenAI
Anthropic Claude
Google Gemini

Job description

Jerry.ai is building the first AI-powered advisor to manage all your physical assets. You will lead the AI agents and automation system, scaling the end-to-end insurance quoting experience with external carrier systems and stateful voice interactions.

The role emphasizes building production-grade LLM-based solutions and collaborating with OpenAI for next-gen voice models. You will evaluate emerging AI technology, shape what to invest in next, and drive production readiness including evals,

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