Back
Mid-level, metro-based QA role at a known agency with common title but niche AI testing reduces differentiation.
Core QA skills transfer across industries but multimodal AI testing expertise reduces portability.
Explicit 4-6 years plus mandatory AI and API testing experience filters candidates strictly.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, execute, and manage comprehensive manual and AI output validation test cases for AI-based software ensuring functionality and business needs are met.
Conduct thorough testing including functional, regression, integration, exploratory, system testing, and validate AI-generated images, videos, recommendations, and workflows.
Track and report defects with root cause analysis, coordinate with product and development teams to deliver stable enterprise software products.
4 to 6 years of experience in software testing, including AI-powered applications.
Hands-on experience with Agile teams, test planning, test case development, and test process implementation.
Proficiency in API testing and use of tools like JIRA and Git.
Experience in validating AI outputs (images, videos), understanding Generative AI concepts including prompt testing and hallucination detection.
Experienced in complex AI application testing with emphasis on multimedia (image, video) output validation.
Detail-oriented professional capable of defect tracking through to closure with root cause analysis and reporting to senior stakeholders.
Comfortable working in Agile environments coordinating across product management and engineering teams to align quality standards and delivery timelines.