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We are looking for an experienced AI Test Engineer with 4–8 years of industry experience to support testing and validation of AI-driven applications. The ideal candidate should have strong expertise in test automation, AI model validation, and prompt engineering, along with experience working on cloud-based AI solutions within the banking domain.
Job Responsibility:
Design and execute test strategies for AI/ML and Generative AI applications
Validate LLM outputs, prompts, and AI model behavior for accuracy, reliability, and performance
Develop and maintain automation test frameworks using Python or Java
Perform prompt testing and prompt engineering validation to ensure optimal AI responses
Work with AI model testing tools and automation tools such as Selenium, GitHub Copilot, or similar tools
Execute functional, regression, integration, and performance testing for AI-enabled applications
Deploy and test applications on public cloud platforms (GCP preferred)
Collaborate with developers, data scientists, and product teams to ensure quality and reliability of AI solutions
Requirements:
4–8 years of experience in software testing or QA automation
Strong programming skills in Python and/or Java
Good understanding of AI/ML concepts and Generative AI fundamentals
Hands-on experience with prompt engineering and LLM testing approaches
Experience with automation testing tools such as Selenium and model testing tools
Experience working with public cloud platforms (GCP preferred, AWS/Azure acceptable)
Strong knowledge of test automation frameworks and QA best practices
Prior experience working in the Banking / Financial Services domain
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Nice to have:
Exposure to AI model evaluation techniques and responsible AI testing
Experience with CI/CD pipelines and DevOps tools
Familiarity with API testing and performance testing tools