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QA Automation Engineer with AI
Infoya
Nāvalūr, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 2 weeks ago
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Role Overview
We are seeking a QA Engineer – AI with 3–7 years of experience to validate AI-powered applications, automation workflows, and intelligent systems. The ideal candidate should have strong expertise in manual and automation testing, API testing, and experience validating Generative AI/LLM-based applications. You will work closely with developers, AI engineers, and product teams to ensure the quality, reliability, and performance of AI solutions.
Key Skills for This Role
Selenium WebDriverJavaPythonTestNGJUnitPostman
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Job Summary
We are seeking a QA Engineer – AI with 3–7 years of experience to validate AI-powered applications, automation workflows, and intelligent systems. The ideal candidate should have strong expertise in manual and automation testing, API testing, and experience validating Generative AI/LLM-based applications. You will work closely with developers, AI engineers, and product teams to ensure the quality, reliability, and performance of AI solutions.
Key Responsibilities
- Design, develop, and execute comprehensive test plans, test cases, and test scenarios for AI-enabled applications.
- Perform functional, regression, integration, system, and end-to-end testing.
- Validate AI/LLM outputs for accuracy, consistency, hallucinations, bias, and edge cases.
- Develop and maintain automation frameworks for web and API testing.
- Perform REST API testing using Postman, Rest Assured, or similar tools.
- Create and execute test data strategies for AI model validation.
- Work with developers to identify, reproduce, and resolve defects.
- Validate prompt engineering scenarios and AI workflow integrations.
- Execute performance and reliability testing for AI-powered applications.
- Participate in Agile ceremonies, sprint planning, and defect triage meetings.
- Maintain test documentation, defect reports, and quality metrics using JIRA or Azure DevOps.
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