Senior AI Engineer: Agentic LLM Systems in Production

Vibehackers; Chicago, Northern (IL, KY); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Equity options

Health, dental, and vision

Parental leave

Flexible vacation

Wellness allowance

Technology allowance

L&D programs

Job summary

Vouch is hiring an AI Engineer to build production AI systems for judgment-heavy insurance work. You will design and ship agentic workflows, extend a durable-execution substrate, and maintain observability for systems that run in production and interact with real users.

Responsibilities include end-to-end workflow design, durable-execution maintenance with versioning, and measurable model behavior with tracing and diagnostics within a hybrid startup environment.

Qualifications

• Hands-on experience with LLM agent systems and tool-calling patterns.
• Production service fundamentals: API design, data contracts, authorization boundaries, and observability.
• Fluency in a strictly-typed codebase and strong production ownership.
• Experience in early-stage startups or high-growth environments and a bias toward small, traceable increments of delivery.
• A mindset that treats safety properties as code, and uses evaluations to validate model capabilities.

Responsibilities

• Ship agentic workflows end-to-end: design tool contracts, capability boundaries, and approval gates, then carry changes through review, deploy, and production ownership.
• Extend and maintain a durable-execution backbone with pinned worker versioning and replay compatibility so crashed workers can resume mid-workflow without losing state.
• Make model behavior measurable: maintain deterministic corpus tests as merge gates, build eval suites and diagnostics, and maintain LLM tracing and token/cost observability.
• Treat prompts and tool definitions as engineered artifacts: version, snapshot-test, cache-stabilize, and review them like code.
• Run the event and data substrate: event bus with schema-governed domain events, object storage, OLTP/OLAP databases, and two-way plumbing between agents and systems of record.
• Use and build with frontier coding agents as daily instruments, and build the systems that make AI coworkers trustworthy.
• Participate in a strong review culture that focuses on finding silent failure modes before production.

Skills

LLM agent systems

Tool-calling patterns

Production ownership

Observability

Strong written communication

Startup experience

Safety as code

Tools

Anthropic SDK

MCP servers

Protobuf

Avro

Schema registry

Job description

Vouch is hiring an AI Engineer to build production AI systems for judgment-heavy insurance work. You will design and ship agentic workflows, extend a durable-execution substrate, and maintain observability for systems that run in production and interact with real users.

Responsibilities include end-to-end workflow design, durable-execution maintenance with versioning, and measurable model behavior with tracing and diagnostics within a hybrid startup environment.