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Mid-level QA role at known SaaS in Gurgaon, broad applicant pool despite GenAI specialization.
QA fundamentals transferable, but GenAI and LLM testing expertise increases domain specificity.
Requires explicit 3+ years, QA automation and GenAI-specific skills, making shortlisting stringent.
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Develop and implement comprehensive automated testing strategies tailored to GenAI features including LLM-powered applications and conversational AI.
Create evaluation frameworks and quality metrics to measure AI features on accuracy, relevance, safety, consistency, and latency.
Collaborate with engineering and product teams to define acceptance criteria, monitor production quality, and document testing procedures for GenAI systems.
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 languages (Python, JavaScript), including API testing tools and CI/CD pipeline integration.
Knowledge of software testing methodologies including functional, integration, regression, performance, and security testing.
Experienced in designing QA strategies for non-deterministic AI systems and GenAI platforms.
Skilled in developing automated test suites and evaluation frameworks for AI features with a focus on reliability and trustworthiness.
Able to collaborate cross-functionally with engineers, data scientists, and product managers to influence AI feature quality from design through production.