Software Engineer, Agent Evaluation and Quality
Software Engineer · Senior · Full Time
Opens Cursor's application page
Role
What you'll do.
Cursor is seeking a Software Engineer for their Agent Evaluation and Quality team to build cutting-edge AI evaluation infrastructure. The ideal candidate will design measurement systems, develop feedback loops, and create tooling to improve AI agent reliability and performance across the company's product ecosystem.
Responsibilities
- AI Evaluation System Design: Create comprehensive AI evaluation systems including curated datasets, offline replay mechanisms, scoring frameworks, regression alerts, and performance dashboards.
- Feedback Loop Development: Design and implement robust feedback collection mechanisms to gather, clean, and interpret user signals that inform model and system improvements.
- Analysis Tooling: Develop advanced debugging and analysis workflows to identify agent behavior patterns, investigate failure modes, and surface actionable insights.
- Quality Measurement: Establish operational quality metrics, define performance thresholds, create alerting mechanisms, and develop triage strategies for AI agent reliability.
Qualifications
What we look for.
Technical
AI Evaluation Systems
Proven experience in building and operating evaluation systems for AI, experimentation platforms, ranking/relevance, or search quality metrics
Data Analysis
Strong data analysis skills with ability to transform abstract quality concepts into concrete metrics and decision-making pipelines
Software Engineering
Solid software engineering fundamentals with expertise in building and shipping robust production systems
Education
Computer Science
Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred
Experience
AI/ML Systems
Demonstrated experience working with AI and machine learning evaluation frameworks
Production Systems
Track record of developing and maintaining large-scale software infrastructure
Skills
Required
AI Evaluation
Expertise in designing comprehensive AI quality measurement systems
Data Pipeline Development
Ability to create robust data collection and processing pipelines
System Design
Strong skills in designing scalable and reliable software infrastructure
Preferred
Machine Learning Research
Nice to haveFamiliarity with latest AI research trends and emerging technologies
Distributed Systems
Nice to haveExperience with large-scale distributed computing architectures
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 180,000 – 250,000
Equity·Stock options
Benefits
Health Insurance
Comprehensive medical, dental, and vision coverage
Equity
Competitive stock option package for early-stage startup
Professional Development
Continuous learning opportunities and conference attendance support
Process
Interview steps.
- 01
Initial Screening
Brief introductory call to assess initial fit and background
- 02
Technical Interviews
2-3 focused technical interviews exploring problem-solving and technical expertise
- 03
Onsite Project
In-office project where candidates work on a small technical challenge and meet the team
Full posting
Original listing.
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.
#LI-DNI
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