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Tier-1 brand, common mid-level QA title, and broad 3–8 years range increase competition.
Automation QA skills transfer across industries, but LLM/agents testing specialization adds moderate domain specificity.
Explicit 3–8 years requirement, specific automation stack, and LLM testing expectations make screening stringent.
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Analyze business and technical specifications to design and execute functional and regression test cases.
Develop and maintain automated test scripts using Selenium with Python and Pytest framework; automate web services testing with Postman and/or Python.
Execute test plans specifically for Large Language Models (LLMs) including prompt validation, accuracy checks, and safety evaluation, along with testing AI-driven workflow agents for reliability and integration quality.
3–8 years of software quality assurance testing experience.
Experience in test automation using Selenium with Python and Pytest; familiarity with API testing tools like Postman.
Exposure or hands-on experience in testing Large Language Models (LLMs) and AI Agents is highly preferred.
Not explicitly mentioned: mandatory degrees, notice period, location, or regulatory constraints.
Experienced in software QA with a focus on AI/ML technologies, especially LLM and Agent testing.
Proficient in automated testing frameworks and tools including Selenium, Pytest, and Postman, as well as agile tools like Jira.
Able to translate complex business and technical requirements into comprehensive test scenarios with attention to AI safety, bias detection, and governance considerations.