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Strong global brand, mid-level QA role, metro location, and broad automation requirements increase candidate competition.
QA and LLM testing skills are transferable, but finance-specific governance and domain expectations require moderate fit.
Explicit 3–8 years plus mandatory automation, CI/CD, and LLM testing skills create moderate shortlisting strictness.
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Analyze business and technical specifications to define test cases for AI initiatives in financial services.
Develop, maintain, and execute automated and manual tests for Large Language Models and AI-driven Agents workflows.
Report, track, and verify defects while ensuring accuracy, safety, and integration quality of LLMs and AI Agents.
3–8 years of software quality assurance testing experience.
Hands-on experience with Selenium using Python and automated test frameworks like Pytest.
Experience testing Large Language Models including prompt validation and accuracy checks.
Work Experience Required: 3–8 years; Work location: hybrid model (office and work from home).
Has strong technical and analytical skills with experience in AI/ML testing and automated quality assurance.
Familiar with Agile tools like Jira and test approaches including BDD/TDD with Gherkin.
Experienced in CI/CD environments and comfortable with AI governance, bias detection, and safety validation concepts.