Live opening · Posted 5 days ago
At a glance
The key details from the original listing.
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Live timing from JobBeeper.
About the role
Description supplied by the original job listing.
What you'll do
Own quality across client projects, from first commit to release
Work directly with engineers to reproduce, diagnose, and resolve issues before they reach production
Use AI tools and agents to generate test cases, expand coverage, and run exploratory testing at speed
Build and maintain automated test suites (UI, API, integration) that keep up with rapid iteration
Test AI-powered features, including LLM outputs, agent workflows, and prompt behavior, and design evals that catch regressions and hallucinations
Review AI-generated code and tests critically, spotting the edge cases and subtle bugs that models miss
Continuously improve our testing approach as the product, the stack, and the AI tooling evolve
Set and uphold quality standards across projects, and make them easy for the whole team to follow
What we're looking for
Experience
2+ years in QA, SDET, or a similar quality-focused engineering role
Hands-on experience with test automation frameworks (e.g. Playwright, Cypress, Selenium, Pytest, Jest)
Solid understanding of API testing, CI/CD pipelines, and testing across web and/or mobile
Comfort reading and reasoning about code, and writing it when needed
AI-native mindset (essential)
You already use AI tools (Claude, Cursor, Copilot, or similar) in your daily workflow, not just occasionally
You can prompt, guide, and verify AI output, and you know when not to trust it
Curiosity about testing non-deterministic systems such as LLM apps, agents, and RAG pipelines
You look for ways to automate your own work, then automate that too
How you work
Strong ownership: you care about outcomes, not just tickets closed
Clear, direct communication with engineers and clients
Comfortable in a small, fast-moving team where you'll shape the process rather than follow one
Able to manage your own time, especially in a remote setup
Nice to have
Experience with LLM evaluation frameworks or building eval pipelines
Performance, security, or accessibility testing background
Prior work in a startup, agency, or consultancy setting
Contributions to open-source or side projects that show how you build with AI
Work arrangement
Yes
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