AI Evaluation Engineer

Zof AI is seeking an AI Evaluation Engineer to build the tests that determine whether AI actually works. Verification is the heart of what Zof AI does, so this role sits close to the core of the product: designing eval suites, verification harnesses, and quality gates that confirm AI systems built the right thing, part QA discipline and part domain judgment.

The ideal candidate is skeptical by default, rigorous about measurement, and motivated by turning "it seems to work" into evidence.

Engineering
· Mid to Senior
· Full-time
· On-site
· San Francisco, CA

• Design and build eval suites for AI products and agent systems.
• Build verification harnesses that confirm the AI built the right thing.
• Define quality gates that gate what ships and what does not.
• Turn domain expertise and customer requirements into testable checks.
• Hunt failure modes: regressions, hallucinations, and silent errors.
• Make eval results legible to engineers, product, and customers.
• Wire evals into CI and the development loop.
• Raise the standard for what "working" means across the company.

• Experience testing, evaluating, or QA-ing complex software systems.
• Understanding of how LLM and agent systems fail.
• Strong analytical rigor and skepticism.
• Ability to write code to build harnesses and automation.
• Attention to detail and a high quality bar.
• Clear written and verbal communication.
• Comfort operating in a fast-moving environment.
• High ownership.

• Experience building LLM evals, benchmarks, or test infrastructure.
• QA, SDET, or test automation background.
• Domain expertise in a vertical where correctness matters.
• Experience with statistical evaluation methods.

Must understand how to measure whether AI systems actually work, beyond demos