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Tier-1 brand, remote role, common QA title, and mid-level (3+ years) amplify competition.
QA skills are broadly transferable but AI-model testing and life‑sciences domain tilt increases specificity.
Explicit 3+ years, mandatory QA skills, AI/LLM testing experience and tool proficiencies make filters strict.
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Own quality assurance activities for AI-powered Veeva applications, ensuring release readiness through manual testing and defect management.
Develop and maintain test cases and plans across functional, integration, regression, smoke, sanity, and user acceptance testing phases.
Coordinate closely with onsite QA engineers and product managers to deliver high quality software and mentor junior team members on quality engineering best practices.
Minimum 3 years of software testing experience with strong understanding of software testing methodologies and SDLC processes.
Hands-on experience in manual functional and API testing, including defect logging and verification using Jira and Xray.
Experience working with AI technologies, including Large Language Models and AI validation/testing techniques.
Work Experience Required: 3+ years in software testing; Location requirement: Hyderabad, India (implied by development center).
Experience testing AI-powered applications with knowledge of AI model verification and validation techniques.
Demonstrated ability to work independently with minimal supervision while collaborating with onsite teams across geographies.
Familiarity with manual and automated testing in a fast-paced SaaS environment, ideally with some exposure to life sciences or healthcare domains (preferred but not mandatory).