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QA Automation Engineer - GenAI

Posted Oct 8, 2026

Job description

QA Automation Engineer – GenAILocation: Abu Dhabi. Experience: 7+ Years. Company: North. Bay Solutions. About North. Bay Solutions. North. Bay Solutions is a global digital transformation company delivering innovative cloud-native and AI/ML-powered solutions. We solve complex business challenges with a focus on modern technologies and real-world impact.

At North. Bay, we promote a culture of excellence, ownership, and continuous learning.Note: This is a full-time onsite role based in Abu Dhabi, UAE. Only UAE based candidates can apply.Position Overview. We are hiring a QA Automation Engineer – GenAI with 7+ years of experience. This role demands a strong foundation in automation testing and a passion for quality across cloud-native, AI/ML, and GenAI platforms.

Key Responsibilities. Design and execute detailed test strategies, test plans, and test cases. Conduct functional, integration, performance, and security testing. Build and maintain automation frameworks using Pytest, Selenium, or similar tools. Perform thorough API testing using Postman or comparable tools. Collaborate with DevOps to integrate test automation in CI/CD pipelines.

Validate AI/ML and GenAI solutions by:Testing model accuracy, fairness, and performance. Detecting bias and validating robustness. Ensuring input/output data quality. Manage and track defects using tools such as JIRAProvide mentorship to junior QA engineers and promote quality best practices. Required Qualifications7+ years of hands-on experience in QA and automation engineering.

Proficiency with automation tools (e.g., Pytest, Selenium). Strong skills in API testing. Knowledge of CI/CD integration. Solid understanding of software testing methodologies and lifecycle. Experience with functional and non-functional testing. Excellent communication and team collaboration skills. Preferred Skills. Experience testing AI/ML and GenAI systems, including:Model validation and bias detection.

Feature/data pipeline testing. Robustness and performance evaluation. Familiarity with cloud platforms (AWS, Azure, GCP)

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