Job Description
Job Requisition ID # 26WD99661 Senior QA Automation Engineer – AI Applications We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset. Responsibilities Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features. Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage. Create and maintain test harnesses for AI services, applications, and APIs. Perform API testing for AI services and backend systems. Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features. Test AI/ML applications and machine learning models from a product and user perspective. Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior. Define structured rubrics that translate qualitative findings into measurable evaluation gates. Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing. Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications. Contribute to multi-team projects and codebases, ensuring code quality and consistency. Participate in code reviews and provide constructive feedback to peers. Document and present findings and ideas across the company. Minimum Qualifications Bachelor’s degree in Computer Science, Engi
