AI Project - QA Automation Engineer
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Role details
Tech stack
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Job description
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Execute standard QA testing cycles including Functional, Regression, and Synthetic testing.
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Validate AI-driven customer interactions across chat, voice, and email channels.
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Perform integration testing with backend systems (APIs, case management, data services).
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Test agent handoff and escalation workflows to ensure seamless transitions.
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Ensure consistency of customer experience across multiple communication channels.
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Conduct User Experience (UX) testing for clarity, usability, and interaction quality.
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Perform Data Quality testing to validate accuracy and completeness of data used by AI systems.
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Develop and maintain QA automation frameworks and test suites.
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Design and implement AI-driven test suites to validate model accuracy, response quality, consistency, and overall system behavior.
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Build and maintain API test automation.
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Develop conversation simulation tests for AI interaction validation.
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Maintain and enhance regression automation suites.
Requirements
We are seeking highly skilled QA Engineer 3-5 years experience with expertise in AI-driven systems to support the AI initiative. The role involves validating AI-powered customer interactions and ensuring high-quality, scalable, and reliable system behavior across multiple channels., * Strong experience in QA methodologies and automation frameworks.
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Hands-on experience testing AI/LLM-based applications.
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Experience with API testing and automation tools (e.g., pytest, Postman, REST frameworks).
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Understanding of multi-channel communication systems (chat, voice, email).
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Experience with CI/CD tools and pipeline integration.
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Strong analytical and problem-solving skills.
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Prepare application
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- Open in Claude
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