We are looking for an AI QA Engineer with hands-on experience using AI tools in real software testing workflows.
This is not a traditional manual QA role, and it is not for someone who is only curious about AI. We are looking for someone who has already used tools like ChatGPT, Claude, Cursor, GitHub Copilot, or similar to improve test planning, test automation, risk analysis, bug reporting, and release quality.
You will work across multiple projects in parallel and help our teams test smarter, move faster, and catch issues earlier.
You will help us improve quality across our product areas by combining structured QA, automation, and AI-assisted workflows.
Your work will include system testing, end-to-end testing, regression planning, test automation, reviewing requirements and changes, identifying edge cases, analyzing bugs and logs, and helping teams understand release risks before they reach production.
A key part of the role is using AI practically to increase test coverage, generate and improve test cases, support automation, summarize changes, analyze issues, and create repeatable QA processes that can scale across several teams.
Experience as a QA Engineer, Test Engineer, or Test Automation Engineer
Hands-on experience using AI tools as part of real QA work
Strong understanding of system testing and end-to-end testing
Experience with test automation tools such as Playwright, Cypress, Selenium, Postman, or similar
Ability to work across several projects in parallel
Good technical understanding and ability to collaborate closely with developers
A structured way of working and strong attention to detail
Experience testing web applications, APIs, integrations, payments, SaaS, POS, or e-commerce systems
Experience with JavaScript, TypeScript, Java, or CI/CD pipelines
Experience reviewing pull requests or reading code
Experience building AI-assisted QA workflows, prompts, or test automation processes
You are a modern QA professional who already uses AI to work smarter.
You understand that AI can help speed up testing, but you also know that quality still depends on human judgment, product understanding, and structured thinking.
You are comfortable switching between projects, quickly understanding context, spotting risks, and helping teams release with more confidence.
We build digital systems used by restaurants and food businesses every day, including POS, online ordering, self-service kiosks, payments, integrations, and customer-facing tools.
Because our systems are used in real operational environments, quality and stability are critical. We want to use AI and automation to make our QA process smarter, faster, and more scalable.
