Cursor
Full TimeBuild measurement and evaluation infrastructure for an AI coding agent, designing datasets, offline replay systems, scorers, and dashboards while developing feedback loops from real usage and analysis tooling for debugging agent behavior. You'll need experience building evaluation or measurement systems like AI evals or search quality, strong data skills, and software engineering fundamentals. The role requires collaborating with research, product, and infrastructure teams and is based in the Cursor office.
Written from this posting by Neural Jobs AI. The full description is below.
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.
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.
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’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.
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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Cursor, developed by Anysphere, is an AI-native code editor that integrates large language models directly into the development workflow, from autocomplete to multi-file edits and agentic coding.
Founded in 2022, it has become one of the most widely adopted AI coding tools.
United States
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