Description

Key Responsibilities
• Manual Front-End Testing
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Design and execute comprehensive manual test cases for web-based applications
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Validate UI/UX consistency, accessibility, responsiveness, and cross-browser compatibility
Perform exploratory testing to uncover edge cases, usability issues, and unexpected behavior
Collaborate with product and design teams to ensure alignment with user expectations
• Automation & API Testing
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Develop, maintain, and execute automated test scripts using Cypress, Playwright or similar frameworks
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Test RESTful APIs using tools such as Postman
Integrate automated tests into CI/CD pipelines for regression and smoke testing
Perform backend and API validation to ensure data accuracy and system stability
• AI & Intelligent Systems Testing
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Test AI-enabled features, tools, or decision systems for accuracy, consistency, and reliability
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Validate AI outputs against expected behavior, business rules, and quality thresholds
Design test strategies for non-deterministic systems, including model output variability, confidence thresholds,
and edge-case or bias scenarios
Validate data pipelines used for AI/ML models, including schema, data quality, and feature integrity
Partner with engineering teams to define AI quality metrics and acceptance criteria
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Participate in regression testing for model updates, retraining, or configuration changes
• AI for QA Enablement
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Design, prototype, or implement AI-assisted tools to improve QA efficiency and coverage
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Leverage AI for test case generation, intelligent test data creation, defect pattern analysis, and flaky test
detection
Evaluate and adopt AI-powered testing tools and frameworks where appropriate
Identify opportunities to automate or augment manual QA workflows using AI
• Quality Assurance Strategy & Collaboration
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Define and continuously improve QA processes and testing standards
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Participate in sprint planning, refinement, and Agile ceremonies
Provide clear, actionable defect reports and quality insights
Collaborate cross-functionally to ensure quality is built in early
• Data Validation & Analysis
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Validate data integrity using SQL and other tools
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Ensure accuracy and consistency of datasets used in application logic and AI workflows
Qualifications
We are seeking highly motivated individual with a consistent record of professional and personal achievement. Creativity, initiative,
resourcefulness, and an entrepreneurial spirit are a must, in addition to the following:
Required
• Bachelor's degree or equivalent practical experience
• 5+ years of experience in Quality Assurance or Software Testing
• Strong experience in manual front-end testing of web applications
• Solid understanding of web technologies, UI/UX principles, and browser behavior
• Experience with API testing, database testing, and data validation
• Proficiency with SQL and relational databases (DB2, SQL Server, or similar)
• Experience with test management tools such as TestRail or Zephyr
• Experience with designing and executing load, stress and performance tests.
• Experience with AI-powered code editor and developer productivity tools (e.g., Cursor, GitHub Copilot, or similar)
Preferred / AI-Focused Experience
• Experience testing AI-powered applications, tools, or data-driven decision systems
• Understanding of AI/ML concepts such as model inference, training vs. inference data, and model drift
• Experience validating probabilistic or non-deterministic system behavior
• Hands-on experience building or using AI-assisted testing tools
• Familiarity with MLOps or CI/CD pipelines that include model deployment
• Experience designing quality metrics beyond pass/fail (accuracy, stability, confidence, trends)
Soft Skills:
• Exceptional problem-solving and analytical skills.
• Excellent time management and organizational abilities in high-pressure environments.
• Strong written and verbal communication skills.
• Detail-oriented with a proactive approach to identifying and resolving issues

Key Skills

Education

Bachelor's degree