AI-Powered Quality Assurance Automation Engineer

The software sector continues to struggle with prolonged release timelines and defect-laden products, primarily because of reliance on legacy testing approaches. Conventional quality assurance methods, including rudimentary automation, consistently miss critical defects until it's too late, resulting in expensive setbacks and dissatisfied end users. Industry data shows that more than 60% of software defects surface a...