QA Analyst Gen AI

Location: Al Khobar KSA

Work Model: Hybrid

Testing AI isnt like testing traditional software. We are looking for a precision-driven QA Analyst to join our team in Al this role you will play a critical part in ensuring our Generative AI-driven applications are reliable scalable and secure.

You wont just be checking buttons; youll be validating AI model outputs testing complex data pipelines and ensuring that our next-gen solutions meet the highest standards of excellence before they reach the worlds leading organizations.

As a QA Consultant you will execute a blend of functional and non-functional testing across AI models APIs and UIs. Your focus will include:

• AI & Data Validation: Validating input datasets for training and fine-tuning ensuring data integrity across preprocessing workflows and testing models against edge cases and adversarial inputs.
• Automation & API Testing: Implementing automated test frameworks using Selenium Cypress or Robot Framework and conducting deep API validation with Postman or SoapUI.
• Functional Excellence: Executing E2E and integration testing to validate AI-driven actions user journeys and business logic.
• Performance & Security: Supporting load and stress testing (JMeter) to ensure scalability. You will also help identify vulnerabilities in data handling and API endpoints.
• Continuous Deployment: Automating regression suites for frequent deployments and monitoring production model performance to drive quality improvements.

We need a QA professional who understands the intersection of software testing and machine learning.

Technical Requirements:

• Experience: 35 years in Quality Assurance with a heavy focus on functional and integration testing.
• Python Proficiency: Working experience with Python is a must.
• Automation Toolkit: Expert use of Robot Framework Selenium or Cypress.
• API Testing: Hands-on experience with Postman or SoapUI.
• AI Knowledge: Strong understanding of AI model validation techniques and data integrity.
• Tools: Familiarity with performance tools like JMeter and an understanding of CI/CD pipeline integration.

Bonus Points For:

• Experience in LLM Evaluation (evaluating model accuracy hallucination rates etc.).
• Background in security testing and vulnerability assessment.

At our core we are a collective of innovators helping the worlds leading organizations unlock the value of technology. You will be supported by a collaborative global community and empowered to build a career that stays ahead of the curve in the rapidly evolving AI landscape.

Ensure the future of AI is built on quality. Apply today.