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Tier-1 brand and metro hiring increase competition, but GenAI LLM expertise narrows candidate pool.
Core QA skills transferable, but LLM safety and financial services context increase domain specificity.
Explicit 8+ years, mandatory automation stack, CI/CD, and LLM testing make filters highly strict.
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Analyze business and technical specifications to design and execute functional and regression test cases for AI initiatives.
Develop and maintain automated tests and scripts using Selenium with Python, Pytest, and tools like SoapUI for web services.
Lead testing efforts specifically focused on Large Language Models (LLMs) and AI Agents, including prompt validation, safety compliance, and adversarial testing.
8+ years of software quality assurance testing experience.
Hands-on experience with LLM testing, including validation, accuracy evaluation, and red teaming.
Proficiency in test automation tools: Selenium with Python, Pytest framework, SoapUI; experience in CI/CD projects.
Experience with Agile tools such as Jira; required familiarity with testing tools like PyCharm, Visual Studio Code, Git, Fiddler, Postman, JMeter, Jenkins.
Experienced in testing and automating AI-based workflows, specifically LLMs and Agents within financial services or related sectors.
Strong technical background with capability to handle complex AI/ML model validation, safety testing, and governance concerns.
Able to independently manage testing priorities and deadlines in hybrid work settings, with practical knowledge of agile methodologies and continuous integration environments.