QA Analyst (AI & GenAI Systems) Grade: Consultant

Location: Al Khobar, KSA

Work Model: Hybrid

The Opportunity

Testing AI isn't like testing traditional software. We are looking for a precision-driven QA Analyst to join our team in Al Khobar. In this role, you will play a critical part in ensuring our Generative AI-driven applications are reliable, scalable, and secure.

You won't just be checking buttons; you'll 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 world's leading organizations.

Your Role

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.

Your Skills and Experience

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

Technical Requirements:

Experience: 3–5 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.

Why Join Us?

At our core, we are a collective of innovators helping the world's 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.

QA Analyst - Gen AI