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Mid-level QA in metro cities with popular title and known agency brand drives high competition.
AI-model testing raises domain specificity, though core QA skills remain transferable.
Explicit 4–6 years requirement plus AI, API and domain testing mandates create moderately strict filters.
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Develop and execute comprehensive test cases for AI-powered applications including image, video, and recommendation outputs to ensure software meets quality and business requirements.
Validate AI model outputs for accuracy, hallucination detection, and output quality, covering functional, regression, integration, exploratory and system testing.
Track defects through to resolution while collaborating with product management and developers to deliver reliable enterprise software products.
4 to 6 years of relevant experience in software testing, specifically with AI applications.
Hands-on experience with Agile development processes and tools such as JIRA and Git.
Strong expertise in test case development, manual testing, AI output validation including images, videos, and recommendations, and API testing.
Location: Mumbai, Pune, Gurugram, Bengaluru (specific onsite location Bengaluru - Manyata N1 Block)
Experienced in validating generative AI concepts including prompt testing and hallucination detection within AI-powered software.
Skilled at analyzing test results deeply to identify root causes and report quality risks to senior stakeholders.
Able to handle multi-modal AI testing scenarios (text, image, video) and familiar with test automation frameworks and cloud technologies (Azure preferred).