> Markdown version of [/jobs/ext/4718349-software-engineer-bugbot](https://www.wearedevelopers.com/jobs/ext/4718349-software-engineer-bugbot). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer, Bugbot

- **Company:** Cursor, LLC
- **Location:** New York, NY, United States
- **Salary:** $140,000 - $225,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Continuous Integration, Systems Integration, Backend, Front End Software Development
- **Published:** November 14, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-6964E093860F7AD958/

## About the Role

* Experience building or working on agents.

PREFERRED SKILLS AND EXPERIENCE:

 * Experience building or working on agents that integrate into the code review or CI/CD workflow
 * Experience shipping full-stack product features end-to-end and enjoying moving between frontend, backend, and model integration
 * Care deeply about developer experience and collecting new evals from customers and internal team members
 * Able to hold the tension between "ship fast to learn" and "don't erode trust with bad suggestions."
 * Experience launching a product or feature to external users and owning the full loop: onboarding, documentation, feedback, and iteration

## Description

* Launch new Bugbot features end-to-end from defining the feature and building the UI to wiring up the Back End and iterating on model behavior so that each release meaningfully improves code review quality. You can check out the Bugbot blog post for some examples of how Bugbot was improved in the past: https://cursor.com/blog/building-bugbot
 * Evolve the review pipeline adapting prompting strategies, model routing, context selection, and agent orchestration to take advantage of new capabilities while managing cost and latency
 * Build integrations that embed Bugbot into every engineer's workflow making AI-assisted review a seamless, default part of the development loop
 * Own product quality and reliability monitor precision and recall, triage false positives, improve observability across the review pipeline, and ensure Bugbot earns trust with every review it posts
 * Design onboarding and adoption flows that help teams go from first install to daily active usage
 * Partner with ML, infrastructure, and product teams to inform model improvements with real-world review data, shape the Bugbot roadmap, and scale the system as adoption grows