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)
* Experience with performance testing, load simulation, and monitoring solutions. (Desired)
If you are interested, please apply with an up to date copy of your CV.
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