Advisory Quality Engineer – AI Ecosystem

Description and Requirements About the Role We are looking for a Staff Quality Engineer with solid experience testing mobile, device, or cloud systems. This role focuses on writing tests, maintaining automation, validating features, and identifying issues early. You will work closely with developers, product teams, and senior QEs to ensure strong test coverage and quality across Qira. What You Will Do Write and execute functional, regression, integration, and exploratory tests Test Qira features across device, mobile, and cloud environments Help maintain and expand automated test suites Validate AI workflows, crossdevice features, and user scenarios Reproduce, document, and track defects through resolution Analyze logs, crashes, and behaviors to support engineering teams Provide quality status during testing cycles and release checkpoints Drive model and agent evaluation pipelines, including accuracy, latency, grounding, hallucination detection, safety checks, and guardrail tests. Basic Qualifications 8+ years in Quality Engineering or Software Testing Experience writing structured test cases and performing manual and automated tests Basic automation experience (Python, Java, JavaScript, or similar) Experience testing Android (Mobile and Tablets), Windows (PC), or crossdevice applications Experience in testing AI models and Agentic behaviors Familiarity with cloud systems, logs, and debugging tools Strong communication and documentation skills Preferred Qualifications Experience testing AIdriven features or task workflows Familiarity with automated test frameworks and CI/CD pipelines Exposure to performance or reliability testing