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Senior, niche AI-testing QA role reduces applicant density despite Bangalore metro location.
AI/LLM testing and deep QA domain expertise moderately limit cross-industry transferability.
Explicit 8-12 years and mandatory AI/LLM testing plus programming and automation skills raise filter strictness.
Own end-to-end quality for complex AI/LLM-based products including requirements, architecture discussions, testing, release, and production validation.
Define test strategy covering functional, API, integration, regression, performance, and NFR testing with automation and release criteria.
Lead risk identification, mitigation, release readiness, and production support including root-cause analysis and improvement implementation.
8-12 years of experience.
Hands-on experience with AI/ML/LLM-based products or projects, including understanding of Generative AI and prompt engineering.
Strong programming skills in Python, JavaScript, or similar for test automation and utilities.
Experience with API testing, databases/SQL, scalable automation frameworks, and CI/CD integrations.
Technical leader capable of independently driving quality and influencing engineering and product teams for AI-centric products.
Experienced in defining and executing comprehensive AI system evaluation strategies covering accuracy, robustness, and edge cases.
Comfortable working in an innovation-intensive environment building scalable test automation for AI-driven software systems.