QA - Voice Bot

Job Title: Quality Engineer (QE) Voice AI

Experience: 24 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

24 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