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Tier-1 brand and Hyderabad metro increase interest, but niche LLM QA specialization limits applicant competition.
LLM testing plus financial-services context raises domain specificity, but QA and Python skills remain transferable.
Explicit 8+ years, required QA automation stack and LLM/Agents testing specialization make filters stringent.
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Analyze business and technical specifications to define and execute test cases for AI initiatives in financial services.
Design and execute test plans specifically for Large Language Models (LLMs), including prompt validation, accuracy, safety, and compliance.
Maintain and automate test execution using tools like Selenium with Python, Pytest, SoapUI, and oversee bug tracking with Jira.
8+ years of software quality assurance testing experience with hands-on LLM and Agents testing highly preferred.
Experience with test automation tools and frameworks including Selenium with Python, Pytest, SoapUI, Jira, and CI/CD-based projects.
Proficiency in testing Large Language Models involving validation, red teaming, safety, and ethical compliance.
Knowledge of tools like PyCharm, Visual Studio Code, Git, Fiddler, Postman, JMeter, Jenkins; basic understanding of AI and ML algorithms preferred.
Technical tester experienced specifically with AI and Large Language Models, capable of creating and executing complex automated tests for LLM behaviors.
Experienced in Agile environments using Jira, BDD & TDD (Gherkin) frameworks, and working within multidisciplinary teams.
Detail-oriented and analytical professional familiar with AI governance, bias detection, and safety validation to ensure robust and ethical AI solution delivery.