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Popular mid-level QA role in Hyderabad with common skillset, increasing applicant competition.
Conversational AI voice-bot expertise adds domain bias, yet core QA skills stay transferable.
Explicit 5+ years requirement and QA/automation experience required, but no mandatory certifications.
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Create and execute detailed functional, regression, integration, and user acceptance tests for AI voice bot applications based on business documents and functional requirements.
Collaborate across Testing Lead, Product, Operations, and Development teams to validate conversational workflows, business rules, API integrations, and defect resolution.
Support automation testing development, AI-driven testing, production validation, and post-release monitoring to improve voice bot performance and release quality.
Minimum 5 years of experience in Software Testing, QA Engineering, or Application Support.
Experience with functional, regression, integration, and API testing, including creating test cases from business documentation.
Exposure to AI voice bots, chatbots, IVR systems, or Conversational AI platforms is mandatory.
Familiarity with automation testing tools (e.g., Selenium, Cypress, Playwright), Agile/Scrum methodologies, and defect tracking tools.
Experienced working in cross-functional agile teams involving Product, Operations, and Development functions for end-to-end testing and defect management.
Demonstrated ability to manage AI-specific testing challenges like intent recognition, response validation, and conversational workflow accuracy.
Background in automation test script development and production support to enhance testing efficiency and minimize post-release defects.