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Mid-level role at a recognized brand in metro locations with common QA skills and AI testing niche.
Core QA skills transfer across industries, but generative AI and multimodal testing require domain-specific experience.
Explicit 4–6 years plus mandatory AI, API testing, and tooling requirements increases screening strictness.
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Conduct manual testing and validate AI outputs including images, videos, and recommendations to ensure software meets business and quality standards.
Develop and execute detailed test cases covering functional, regression, integration, exploratory, and system testing for AI-powered applications.
Log and track defects, perform root cause analysis, and coordinate with product and engineering teams to deliver stable enterprise software.
4 to 6 years of experience in software testing with Agile teams.
Experience testing AI-based applications, including validation of AI-generated images, videos, and recommendations.
Proficient in test planning, execution, defect management, and use of tools like JIRA and Git.
Hands-on experience in API testing; knowledge of functional, regression, integration, and system testing methodologies.
Experienced in AI-powered application testing with understanding of generative AI concepts, prompt testing, hallucination detection, and output quality assessment.
Skilled in both technical test execution and reporting test outcomes to senior stakeholders.
Able to independently analyze production issues through root cause analysis and communicate effectively with multiple teams.