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