Join our dynamic Technology & Transformation practice and unlock the potential hidden within vast datasets. We provide strategic guidance and implementation services to help organizations manage data from diverse sources, transforming it into actionable intelligence for informed decision-making and a competitive edge. Our expertise spans business intelligence, data management, performance management, and cutting-edge analytics technologies like big data, cloud, cognitive computing, and machine learning.

This role focuses on advancing Quality Engineering within the Generative AI domain, contributing to innovative solutions.

Develop sophisticated AI-driven test cases and robust automation scripts to ensure the quality of generative AI solutions.

Execute thorough prompt validation, response testing, and comprehensive AI model evaluation.

Implement and maintain automation frameworks using industry-standard tools such as Playwright, Selenium, and Appium.

Leverage LLM APIs and relevant frameworks for Quality Engineering use cases.

Contribute to the development of reusable assets and accelerators to enhance efficiency and consistency across projects.

Possess 6–9 years of dedicated experience in Quality Engineering and Testing.

Demonstrate hands-on expertise in automation and scripting, with a strong ability to develop and execute complex test scenarios.

Showcase exposure to AI/ML or GenAI concepts, understanding their application in testing and validation.

Exhibit strong analytical and problem-solving skills, with a meticulous approach to identifying and resolving issues.

Hold a Bachelor’s degree in Computer Science, Information Technology, or a related technical field.