Skills & Technologies
Joblaze summary
In the role of Software Engineer on the Agent Evaluation and Quality team at Cursor, the individual will focus on developing the infrastructure for measuring and improving the performance of the core agent. This position requires expertise in building evaluation systems, strong data analysis skills, and a solid foundation in software engineering. It is well-suited for someone with experience in AI evaluation or measurement systems, who thrives in a collaborative environment that values creativity and rigorous debate. Cursor's flat organizational structure fosters a dynamic atmosphere where innovative ideas can flourish.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Cursor's career page.
- Cursor has 85 other open roles including Marketing Program Manager, Workshops, Solutions Architect, London, Solutions Architect.
- 1579 active AI/ML roles on Joblaze right now.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML.
- What seniority level is this role?
- Cursor targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Agent Evaluation and Quality role at Cursor.
From the original posting
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the Role
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.
Your impact will compound across every Cursor product built on the shared harness—and across high-stakes decisions around model choice, quality, and cost.
What you’ll work on
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.
You may be a fit if
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.
Applying
If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.
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