QA Engineer

Job Title: QA Engineer

About the Role

Key Responsibilities

• Perform deep manual testing of conversational AI assistants — review call recordings, chat transcripts, and verify assistant responses.
  
• Validate call flow quality and identify speech recognition errors, interruptions, and prompt misbehaviors.
  
• Test new product features, enhancements, and bug fixes across multiple AI assistant products.
  
• Create and execute detailed, scenario-based test cases for both voice and text interactions.
  
• Conduct API testing (manual or via tools like Postman, Insomnia) and validate integrations between backend services.
  
• Execute basic Python scripts for repetitive or functional API test automation.
  
• Collaborate with developers, product managers, and data scientists to ensure high-quality releases.
  
• Participate in prompt testing, counter-prompt validation, and benchmark testing against competitor AI systems.
  
• Support release validation and regression testing for client-specific AI assistant deployments.
  

Required Qualifications & Skills

• 3–5 years of QA experience in a product-based or SaaS environment.
  
• Strong expertise in manual testing — particularly for user experience, call/voice flows, and AI-driven interactions.
  
• Hands-on experience with API testing tools such as Postman, Insomnia, or similar.
  
• Basic proficiency in Python scripting — able to read, execute, or slightly modify automation scripts.
  
• Solid understanding of QA methodologies: test planning, case design, regression, and defect tracking.
  
• Excellent analytical and communication skills to articulate issues and collaborate effectively with cross-functional teams.
  
• Curiosity to understand AI conversational behavior and identify edge cases or response inconsistencies.
  

Good to Have

• Exposure to AI/ML testing environments, speech recognition, or NLP-based products.
  
• Experience working in Agile development environments.
  
• Familiarity with bug tracking tools (e.g., JIRA, Azure DevOps).