Urgent AI QA Automation Setup

I need to stand-up an AI-powered quality-assurance workflow right away and I’m looking for someone who already has three to five years of hands-on experience building smart testing solutions. The goal is to plug intelligent test generation, bug detection and performance insights straight into our existing CI/CD pipeline so releases ship faster and with fewer surprises. Here’s what success looks like to me: • A fully scripted test suite generated or augmented by AI and runnable on demand. • Automated bug-triage that flags root causes in clear, actionable language. • Performance checks that surface slowdowns before they reach production. • Clean documentation so my internal team can extend the setup without hand-holding. You’ll be free to recommend the best stack—Python, JavaScript, Java, or a mix—as long as it integrates smoothly with Git, Docker and a cloud runner such as GitHub Actions or GitLab CI. If you’ve already worked with frameworks like Playwright, Selenium, Cypress, or similar AI-assisted layers, that’s exactly the kind of background I’m after. Turnaround is critical; please outline your proposed milestones and how quickly you can deliver an MVP we can run against our codebase.

Project ID: 40555266