We are looking for AI Software Developer In Test (SDET) with a deep quality mindset who lives at the intersection of software quality and AI.This isn't a traditional automation role as you'll design and build AI agents and skills that serve both automated and manual QA workflows like autonomous failure investigation, test generation, exploratory testing assistance, triage, and suite maintenance. You'll also evolve the automation framework itself, with AI as your primary force multiplier.
You'll join a team that has already integrated multiple AI coding agents (Devin, Claude Code, Cursor) into daily workflows, and built custom AI skills for automated failure analysis.
Qualifications:
- Over 5 years of experience in QA testing processes, including test planning and execution
- More than 5 years of proven experience in automation testing
- proven experience with TypeScript, JavaScript, Java, or Python
- Proven experience with the Playwright or a comparable modern E2E framework
- Experience building and maintaining large-scale test automation frameworks (not just writing tests)
- Hands-on experience with AI coding assistants (Devin, Cursor, Copilot, Claude, or similar) beyond casual usage - you've shaped how they work on a codebase
- Understanding of CI/CD systems (CircleCI, GitHub Actions, or equivalent)
- Ability to write clear, structured technical documentation (you'll be writing instructions that AI agents follow)
- Strong quality-focused mindset
- Exceptional ability to understand cross-platform architectures and think from a user's perspective
- API testing experience (REST, service clients, test data management)
Bonus points:
- Experience with prompt engineering and LLM-driven automation
- Background in manual QA - you understand the workflows, pain points, and judgment calls that manual testers make daily, and can translate those into AI-assisted processes
- Familiarity with test management platforms (Allure TestOps, TestRail, or similar)
- Experience building Slack bots, internal tools, or developer experience tooling
- Understanding of serverless architectures (AWS Lambda)
- Page Object Model architecture at scale
A day in the life and how you’ll make an impact:
AI Skills & Agent Design
- Design, build, and maintain AI skills and agents for the entire quality domain, serving both automation engineers and manual QA teams
- Build AI-powered workflows for manual QA: exploratory testing guidance, test plan generation, regression scope analysis, bug investigation assistance, smart test case prioritization
- Author and iterate on agent configuration files and skill definitions that govern how AI agents interact with the codebase and quality processes
- Build tooling that transforms test infrastructure data (Allure TestOps, CircleCI, Playwright traces)