Software Quality Assurance Engineer

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Role Overview:

We are looking for a QA Engineer who is passionate about ensuring quality in AI-driven voice assistant products. This role involves a mix of deep manual testing, API validation, and basic automation work using Python.

Key Responsibilities

• Perform extensive manual testing of conversational AI assistants — reviewing call recordings, chat transcripts, and verifying assistant responses.
• Validate call flow quality, identify interruptions, speech recognition errors, and prompt misbehaviors.
• Test and verify new product features, enhancements, and bug fixes.
• Write detailed, scenario-based test cases for voice and text interactions.
• Perform API testing (manual or using tools like Postman) and validate integration between backend services.
• Execute basic automation scripts in Python for repetitive API or functional tests.
• Collaborate with developers and product teams to understand requirements and identify test coverage.
• Contribute to prompt testing, counter-prompt validation, and comparison testing against competitor products.
• Support release validation for multiple client-specific AI assistants.

Qualifications

• 3+ years of QA experience in a product or SaaS environment.
• Strong interest and proven ability in manual testing — especially testing user experience, voice/call flows, and real interactions.
• Hands-on experience with API testing using tools like Postman, Insomnia, or similar.
• Basic Python scripting knowledge (able to read, run, or slightly modify automation scripts).
• Clear understanding of QA concepts — test planning, test case design, regression, defect tracking, etc.
• Good communication skills — able to clearly articulate issues, document observations, and collaborate with cross-functional teams.
• Curiosity to understand how AI assistants think, speak, and behave — and eagerness to find where they fail.

Interested candidates please share your resume to balkis.begam@terragig.in along with the following details

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