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QA Engineer

Awign Expert
Contract
On-site
Hyderabad, Telangana, India
QA Engineer
About the client -Β <\/b>
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We are a world -changing team of AI researchers and engineers working on the cutting edge of generative AI. We are building systems that work across telephony, chat, video, email & text to assist & accelerate the human workforce with artificial agents.
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Our focus is on helping customers improve their outcomes in the areas of Business Process (Customer service, IT support, Accounting, Human resources, Legal services, Marketing, IP Legal, etc.
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5 days working - Hyderabad<\/b>
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Rounds: 1 Virtual, 1 Physical<\/b>
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Location: Hitech City, Hyderabad<\/b>
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Role Overview<\/b>
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We are looking for a QA Engineer<\/b> who is passionate about ensuring quality in AI -driven voice assistant products<\/b>. This role involves a mix of deep manual testing<\/b>, API validation<\/b>, andΒ basic automation work<\/b> using Python.
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Key Responsibilities<\/b>
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Perform extensive manual testing of conversational AI assistants β€” reviewing call recordings, chat transcripts, and verifying assistant responses.
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Validate call flow quality, identify interruptions, speech recognition errors, and prompt misbehaviors.
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Test and verify new product features, enhancements, and bug fixes.
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Write detailed, scenario -based test cases for voice and text interactions.
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Perform API testing (manual or using tools like Postman) and validate integration between backend services.
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Execute basic automation scripts in Python for repetitive API or functional tests.
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Collaborate with developers and product teams to understand requirements and identify test coverage.
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Contribute to prompt testing, counter -prompt validation, and comparison testing against competitor products.
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Support release validation for multiple client -specific AI assistants.
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Qualifications<\/b>
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3+ years<\/b> of QA experience in a product or SaaS<\/b> environment.
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Strong interest and proven ability in manual testing<\/b> β€” especially testing user experience, voice/call flows, and real interactions.
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Hands -on experience with API testing<\/b> using tools like Postman, Insomnia, or similar.
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Basic Python scripting<\/b> knowledge (able to read, run, or slightly modify automation scripts).
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Clear understanding of QA concepts β€” test planning, test case design, regression, defect tracking, etc.
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Good communication skills β€” able to clearly articulate issues, document observations, and collaborate with cross -functional teams.
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Curiosity to understand how AI assistants think, speak, and behave<\/b> β€” and eagerness to find where they fail.
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