Quality Engineer (AI Assistant, On-Device Applications)

We’re looking for a Quality Engineer to ensure our on-device AI assistant is robust, reliable, and user-ready. In this role, you will define and implement quality standards, build testing pipelines, and ensure seamless performance across a wide range of edge devices and AI use cases. You’ll work closely with product and engineering to test new features, catch regressions, and improve overall product stability and user trust. You will own the test strategy and quality process across the IrisGo product stack (UI, backend, on-device AI pipeline). Design and implement automated tests for LLM workflows, agent behaviors, and file system interactions. Set up and maintain CI pipelines and test environments for multiple device configurations (e.g., Mac, Windows AI PCs). Perform exploratory, regression, and stress testing to validate AI-driven workflows and real-world usage. Collaborate with product and engineering teams to define acceptance criteria and catch edge cases early. Develop tools or scripts to monitor product performance and reliability in production-like scenarios. Reproduce and isolate bugs reported by users or QA channels, and document findings clearly for engineering resolution. Help drive a quality-first mindset across the organization with clear QA guidelines and automation practices.