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CNTXT AI in Abu Dhabi seeks a QA engineer with 5+ years of hands-on experience to design and execute tests for web and mobile apps, including RTL Arabic interfaces. You will validate Arabic AI outputs and perform API testing, building robust automation suites.
Join an agile team, participate in UAT, and contribute to QA process improvements and quality metrics reporting. Fluency in Arabic and English is required.
Design, document, and execute test plans, test cases, and regression suites for web and mobile applications across multiple projects
Perform functional, usability, localization, and RTL (right-to-left) layout testing for Arabic-language interfaces
Validate Arabic content quality in AI outputs, including ASR transcriptions, classifications, and summaries — covering MSA, Gulf dialects, and Arabic-English code-switching scenarios
Test REST APIs and backend services (e.g., using Postman or similar tools)
Build and maintain automated test suites for UI and API layers
Log, track, and verify defects through to resolution; work closely with developers and product owners in an agile environment
Participate in UAT cycles with clients and support release readiness sign-off
Test data pipelines and platform workflows end-to-end, including user onboarding, task submission, and data validation flows
Contribute to QA process improvement, test documentation standards, and quality metrics reporting.
5+ years of hands-on experience in software QA (manual and automation)
Native or fluent Arabic (reading, writing, listening) and professional working proficiency in English
Strong experience testing web and mobile applications (iOS/Android)
Experience with test automation frameworks such as Playwright, Selenium, Cypress, or Appium
Solid API testing experience (Postman, REST Assured, or equivalent)
Familiarity with bug tracking and test management tools (Jira, TestRail, orsimilar)
Understanding of agile/Scrum development processes
Strong analytical skills with meticulous attention to detail, particularly in evaluating Arabic text rendering, diacritics, and dialectal variation
Experience testing LLM-based or GenAI applications: prompt regression testing, evaluating non-deterministic outputs, hallucination detection,response quality scoring, and guardrail validation
Experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) and integrating automated tests into them