Software Engineer, Agent Evaluation and Quality

Software Engineer · Senior · Full Time

San FranciscoUSD 180k – 250k4mo ago
Apply for this role

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 have

    Familiarity with latest AI research trends and emerging technologies

  • Distributed Systems

    Nice to have

    Experience with large-scale distributed computing architectures

Tech stack

Languages

Python

Frameworks

Machine Learning Frameworks

Databases

Time Series Databases

Tools

Data Analysis Tools

Other

Cloud Platforms

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.

  1. 01

    Initial Screening

    Brief introductory call to assess initial fit and background

  2. 02

    Technical Interviews

    2-3 focused technical interviews exploring problem-solving and technical expertise

  3. 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

Redirects to Cursor's application page.

Other roles

More at Cursor.

View all 39 roles