Generative AI Quality Engineer - Senior Associate
State Street — Hyderabad, India
Who we are looking for We are looking for Software Quality Assurance Testers with 3–8 years of experience , with exposure or interest in LLM (Large Language Model) testing and Agents testing . This role involves analyzing business and technical specifications, defining and executing test cases, and capturing and tracking defects. You will work on Artificial Intelligence initiatives within a multidisciplinary team focused on emerging trends, cutting‑edge technologies, and their application in financial services for our clients. This role supports a hybrid work model , allowing you to balance work from home and office based on your needs and role requirements. What you will be responsible for As an SQA Tester , you will: Analyze business and technical specifications. Write functional test cases and perform regression testing. Report bugs, verify fixes, and maintain the bug tracking system (e.g., Jira). Maintain and execute automated tests using Selenium with Python . Create automated test scripts using the Pytest framework. Automate web services using Postman and/or Python. Execute test plans for Large Language Models (LLMs) , including prompt validation, accuracy checks, and basic safety evaluation. Support Agents testing for AI-driven workflows to ensure reliability, robustness, and integration quality. What we value These skills will help you succeed in this role: Ability to understand customer/business user needs and translate them into test scenarios. Strong analytical, technical, and problem-solving skills with attention to detail. Ability to manage time effectively and prioritize tasks while working within deadlines. Experience with BDD & TDD (Gherkin) . Experience using Jira as an agile management tool. Experience in using Selenium with Python for test automation. Experience in testing LLMs , including prompt-response validation and evaluation of model accuracy and relevance. Exposure to red teaming for identifying vulnerabilities and edge cases in LLMs (prefe
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