QA - Voice Bot

Job Title: Quality Engineer (QE) – Voice AI Experience: 2–4 Years Role Overview We are looking for a Quality Engineer (QE) to ensure the quality, reliability, and performance of our end-to-end Voice AI platform. This role focuses on testing real-time voice workflows, telephony integrations, AI-driven conversations, and backend systems using a strong automation-first approach. You will work closely with Backend, AI, and Product teams to validate that voice interactions behave correctly across real-world scenarios, edge cases, and scale conditions. Key Responsibilities • Test end-to-end Voice AI workflows, including call initiation, speech recognition, intent handling, conversational logic, responses, fallbacks, and call termination • Design and execute functional, integration, regression, and exploratory tests for voice-based systems • Build and maintain automation test suites for APIs, backend services, and voice workflows • Validate telephony integrations including call flows, retries, failures, timeouts, and disconnect scenarios • Validate AI-generated responses for accuracy, consistency, and error handling • Perform non-functional testing including latency, reliability, and concurrency validation • Integrate automated tests into CI/CD pipelines • Log, track, and analyze defects; collaborate with developers for root-cause analysis • Continuously improve test coverage, test data, and automation frameworks Required Skills & Experience • 2–4 years of experience in Quality Engineering / QA / Test Automation • Strong experience in automation testing using Python (preferred) or similar scripting languages • Solid understanding of software testing fundamentals (functional, integration, regression, system testing) • Experience testing backend systems and APIs • Understanding of Voice AI pipelines: (STT → NLU → Response generation → TTS) • Hands-on experience testing Voice AI, conversational AI, or chatbot systems • Understanding of real-time communication protocols and systems: (SIP , WebSocket , WebRTC) • Familiarity with real-time or event-driven systems • Understanding of CI/CD pipelines and automated test execution • Strong analytical, debugging, and communication skills Nice to Have / Bonus Skills • Deeper exposure to telephony systems (IVR, call routing, RTP concepts) • Experience validating audio quality, jitter, packet loss, and concurrency scenarios • Familiarity with cloud environments (AWS/GCP) • Experience with performance or load testing tools • Experience testing AI edge cases such as hallucinations, retries, and fallback handling You Might Thrive If You • Think beyond UI testing and enjoy validating complex backend and real-time systems • Can design tests that simulate real customer voice interactions • Prefer automation-first quality engineering • Are comfortable working in fast-moving Voice AI environments • Collaborate closely with backend and AI engineers to improve system quality Why This Role • Work on production Voice AI systems • Own quality for mission-critical, real-time voice workflows • Build deep expertise in Voice AI testing, telephony, and automation • High ownership and high-impact role

Apply Now