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Mid-level popular QA title, metro location, and 3+ years requirement increase competition.
Specialized GenAI QA skills create strong domain bias, limiting easy cross-industry transfer.
Explicit 3+ years requirement plus mandatory GenAI, automation, and QA tooling skills.
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Develop and implement comprehensive testing strategies and automated test suites for GenAI features including conversational AI and LLM-powered workflows.
Create evaluation frameworks and quality metrics to measure GenAI performance dimensions like accuracy, safety, and latency.
Build monitoring systems for production AI features, conduct adversarial testing, and collaborate with engineering/product teams on AI feature quality and acceptance criteria.
3+ years of QA or test engineering experience, preferably with AI/ML systems.
Strong understanding of GenAI technologies including LLMs and prompt engineering.
Experience with test automation frameworks and scripting (Python, JavaScript) including UI, performance, regression testing.
Knowledge of software testing methodologies and ability to design test cases for non-deterministic AI systems.
Experienced in QA for AI/ML-driven products with focus on reliability and trustworthiness of GenAI features.
Able to design and operationalize quality measurement and monitoring frameworks specific to AI system behaviors.
Comfortable collaborating cross-functionally with engineering, data science, and product teams to define and enforce quality standards for AI applications.