AI Engineer: Build Production-Grade AI Workflows

Vouch

Chicago (IL)

Hybrid

USD 120,000 - 210,000

Full time

5 days ago
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Benefits offered by this job

Competitive compensation and equity
Health, dental, and vision insurance
Parental leave
Flexible vacation time
Wellness allowance
Technology allowance
Professional development
Stock options

Job summary

Vouch is building AI software for judgment-heavy insurance work, with a Chicago-aligned office and hybrid work flexibility. You will join a small, growth-focused team that values auditable, durable systems and high-quality software engineering across AI tools, data, and production workflows.

Expect to own end-to-end workflows, contribute to a rapidly evolving codebase, and collaborate with cross-functional teams to deliver measurable improvements in risk assessment and automation.

Qualifications

  • AI-native and inventive approach to building novel, reliable systems.
  • Experience with frontier models and tooling for production use.
  • Comfort working in a high-ambiguity startup environment with rapid learning.

Responsibilities

  • Ship agentic workflows end to end, with review and production ownership.
  • Extend a durable-execution backbone and ensure state is preserved across restarts.
  • Make model behavior measurable via deterministic tests and eval suites.
  • Treat prompts and tool definitions as engineered, versioned artifacts.
  • Run event and data substrate with schema-governed events and databases.
  • Work with AI on AI; build systems that make an AI coworker trustworthy.
  • Review work with thorough, test-driven approaches.

Skills

AI-native
Frontier models
Tool-calling systems
Typed codebase
Clear written communication
Startup experience

Tools

Anthropic SDK
MCP servers
CI/CD tooling

Job description

Vouch is building AI software for judgment-heavy insurance work, with a Chicago-aligned office and hybrid work flexibility. You will join a small, growth-focused team that values auditable, durable systems and high-quality software engineering across AI tools, data, and production workflows.

Expect to own end-to-end workflows, contribute to a rapidly evolving codebase, and collaborate with cross-functional teams to deliver measurable improvements in risk assessment and automation.

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