About the job
As a Software Engineer on the Agent Quality team at Cursor, you’ll build the measurement, evaluation, and feedback-loop infrastructure that makes the Cursor core agent reliably better over time. This role sits at the intersection of product, data, and engineering: you’ll instrument what matters, help define how we judge quality, build pipelines and tooling to analyze agent behavior at scale, and partner closely with research, product, and infrastructure teams to turn insights into improvements.
Responsibilities
Designing and building best-in-class AI evaluation system: curated datasets, offline replay, scorers / judges, regression alerts, and dashboards.
Designing feedback loops from real usage: collecting, cleaning, and interpreting user signals to inform model and harness changes.
Developing analysis tooling and workflows for debugging agent behavior: deep dives on failure modes, clustering themes, and surfacing actionable insights.
Improving reliability and guardrails by making quality measurable and operational: defining “good/bad/degraded” sessions, alerting, and triage primitives.
Qualifications
Minimum
You’ve built and operated evaluation or measurement systems, such as AI evals, experimentation, ranking/relevance, or search quality. You can turn ambiguous “quality” questions into concrete metrics, pipelines, and decisions.
You have strong data acumen, and can collaborate effectively with data scientists and researchers.
You have taste and strong opinions on model and agent behaviors. You stay up-to-date and informed on emerging research and industry trends.
You have strong software engineering fundamentals and enjoy shipping production systems.
Preferred
No preferred qualifications listed.