Software Quality Assurance Engineer

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, Dev Ops, and AI functions to validate sophisticated systems spanning web applications, APIs, real-time voice infrastructure, and intelligent conversational agents.

• 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.

• 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)