The role involves designing, developing, and maintaining test automation frameworks to ensure robust test coverage. The engineer will perform API and database testing while collaborating with product managers and developers on requirements analysis and test execution. A significant portion of the work includes testing AI-powered systems, such as chatbots, to verify intent recognition and response accuracy. The position requires tracking and reporting testing progress using defect management tools. Additionally, the engineer will utilize AI tools to accelerate script development and test data creation. The role also focuses on identifying issues related to bias and model robustness to ensure the trustworthiness of AI systems.

Candidates must possess a Bachelors or Masters degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. The role requires 0 to 1 years of professional experience in Quality Assurance or Quality Engineering. Applicants need hands-on experience with Java, Python, and Hybrid Automation frameworks. Furthermore, a basic understanding of the Software Testing Life Cycle, Agile environments, and CI/CD concepts is necessary. Prior experience or a keen interest in testing AI-powered applications is also required.