About the role
Our agents do real accounting work on live client books, so "it looks right" is not good enough. As an AI Test Engineer, you will build the evals that measure whether they get it right: the test cases, the scoring and the systems that run them on every change.
You will work closely with our research team, with our Applied Accounting Researcher, who decides what correct looks like, and with the engineers building the AI CFO and our agents. You will be based in our Copenhagen office.
What you'll do
- Build and grow our eval suites across accounting tasks, from reconciliation to reporting and consolidation
- Turn real cases from accounting firms into test cases with clear, agreed answers
- Design scoring you can trust, using model-graded checks only where they hold up
- Run evals on every model, prompt and tool change, and catch regressions before release
- Track agent quality over time, and make the results easy for the whole team to read
- Help decide when an agent is good enough to take on a new task
What we're looking for
- 3 to 5 years of experience in software engineering, test engineering or machine learning
- Hands-on experience evaluating LLMs or agents
- Strong programming skills in TypeScript or Python
- Rigour: you design tests that are hard to fool
- Clear writing about what results mean, and how sure you are of them
Nice to have
- Statistics, and experience measuring noisy systems
- Experience building CI pipelines
- An interest in accounting or finance