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Tier-1 employer, metro location, and common QA title increase applicant density despite LLM specialization.
QA automation skills transferable, but LLM/agents testing and finance governance require moderate domain specificity.
Explicit 8+ years plus mandatory LLM testing, Selenium/Python, CI/CD and tool requirements.
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Analyze business and technical specifications to develop and execute test cases for AI-driven products involving Large Language Models (LLMs) and Agents.
Develop, maintain, and execute automated tests using Selenium with Python and Pytest framework, including web services automation.
Design and perform test plans focusing on LLM prompt validation, accuracy, safety compliance, agents testing, bug tracking, and regression testing.
8+ years of software quality assurance testing experience.
Hands-on experience in LLM (Large Language Model) testing and Agents testing.
Proficiency with test automation tools and frameworks including Selenium with Python, Pytest, SoapUI, Jira, and CI/CD projects.
Familiarity with AI/ML concepts preferred but not mandatory; experience with AI governance and safety validation is an advantage.
Deep technical expertise in software QA with specific focus on AI-driven systems, particularly LLMs and AI agents testing.
Experienced in both manual and automated testing in agile environments using tools like Jira, Selenium, Pytest, SoapUI, and CI/CD pipelines.
Ability to translate complex business and technical requirements into detailed functional and regression test cases, including safety and ethical compliance evaluations.