AI QA Engineer (Manual, Voice and Conversational Systems)

About the Role

We are looking for a QA Engineer who understands that quality in voice AI is not only about correctness — it’s about timing, flow, and believability.

Our client product involves AI-driven agents that interact with people in real time through voice. These agents handle conversations that include interruptions, ambiguity, background noise, external system calls, and constantly changing context. Your role is to challenge these systems until their weaknesses surface.

This is a hands-on manual QA role, focused on breaking conversational logic, exposing edge cases, and ensuring that AI behavior remains consistent, responsive, and aligned with its intent.

What You Will Do

• Test live voice conversations with AI agents, focusing on responsiveness, interruptions, and natural dialogue pacing
• Validate conversation flows and state changes across multi-step scenarios
• Identify cases where the AI deviates from expected behavior or produces incorrect or fabricated information
• Analyze conversation logic defined in scripted templates and structured data formats
• Verify how the system interacts with external services during a call and how it behaves when those services fail

• Contribute to building reliable test scenarios and reference conversations for regression testing

   

What We Expect

• Experience in manual software testing (1+ year)
• Ability to read and reason about structured logic (e.g. JSON, templated scripts, basic Python)
• Understanding of how voice systems work, including speech recognition, speech synthesis, and silence detection
• Attention to timing issues, edge cases, and non-obvious failure modes
• Curiosity and persistence when testing complex or unpredictable systems

• Fluent Russian and working proficiency in English

   

Nice to Have

• Experience testing chatbots, voice assistants, or call automation systems
• Familiarity with large language models or prompt-based systems
• Background in API or integration testing