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Bengaluru metro, mid-sized employer, and niche GenAI QA skills create moderate candidate competition.
Core QA automation is transferable, but GenAI/LLM expertise requires ML familiarity, so sensitivity is medium.
Explicit 7+ years and mandatory Python, Pytest, and GenAI experience make shortlisting highly strict.
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Lead automation of testing for Agentic AI and GenAI systems using Python-based frameworks (e.g. Pytest).
Validate and test large language model outputs focusing on accuracy, hallucination, and relevance.
Develop and maintain test pipelines with metrics (F1, precision, recall) and integrate tests into CI/CD workflows.
Minimum 7 years of QA experience, including exposure to GenAI/ML systems.
Strong proficiency in Python programming and automation frameworks (Pytest or unittest).
Experience in API testing and debugging.
Familiarity with CI/CD processes and version control systems.
Experienced in end-to-end testing of advanced AI systems, particularly GenAI and multi-agent workflows.
Skilled in building measurement and evaluation metrics specific to AI outputs.
Capable of integrating automated tests seamlessly into CI/CD pipelines within Agile or DevOps environments.