Software Quality Assurance Engineer

Onsite£60,000BristolPermanent

QA Engineer | Bristol | Permanent | Up to £60,000 DOE

Peaple Talent have partnered with an exciting AI Start-Up looking to recruit a QA Engineer to help safeguard the stability, performance, and overall quality of our AI-enabled communications platform.

In this role, you’ll collaborate across Backend, Frontend, Telephony, DevOps, and AI functions to validate sophisticated systems spanning web applications, APIs, real-time voice infrastructure, and intelligent conversational agents.

Key Responsibilities:

  • Develop comprehensive test approaches covering web interfaces, APIs, voice services, and AI-powered functionality.
  • Execute functional, integration, regression, and exploratory testing activities.
  • Verify complete user journeys across frontend, backend, telephony, and AI components to ensure seamless operation.
  • Create and maintain automated test frameworks for web and API layers.
  • Integrate automated validation into CI/CD pipelines to establish strong quality gates.
  • Contribute to testing strategies tailored to real-time communication and AI-driven systems.
  • Assess conversational AI interactions, prompt flows, and voice agent behaviour.
  • Validate speech-to-text, text-to-speech, and intelligent call-routing accuracy.
  • Monitor AI-driven agents in production-like environments, identifying inconsistencies or quality concerns.
  • Partner with engineers and product managers throughout sprint cycles and release phases.
  • Clearly document, reproduce, and track defects with detailed evidence and logs.
  • Strengthen QA standards, documentation practices, and release-readiness processes over time.

Key Experience

  • Proven experience testing web-based and API-centric platforms.
  • Solid understanding of RESTful services, distributed architectures, and system integrations.
  • Hands-on experience with automation tools such as Playwright, Cypress, Postman, PyTest, or comparable frameworks.
  • Familiarity with Ci/CD processes and Git-based development workflows.
  • Strong analytical skills, excellent attention to detail, and confident communication.
  • Comfortable operating in fast-moving, cross-functional engineering environments.
  • Exposure to telephony platforms, VoIP, WebRTC, or other real-time communication systems. (Desired)
  • Familiarity with Ai/ML-driven applications, LLM-based tools, and monitoring solutions. (Desired)
  • Basic scripting or coding capability in Python or JavaScript. (Desired)
  • Experience with performance testing, load simulation, and monitoring solutions. (Desired)

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