QA Engineer

Key Responsibilities:

Quality Assurance & Testing

• Design, develop, and execute test plans, test cases, and test scripts for AI-powered applications and services.
• Perform functional, integration, system, regression, and user acceptance testing (UAT) support.
• Validate end-to-end workflows across AI applications, APIs, and integrated systems.
• Identify, document, track, and verify resolution of defects and issues.

Model Upgrade Validation

• Support testing and validation activities during AI model upgrades.
• Conduct model output comparisons and regression testing to assess the impact of model changes.
• Validate model performance against predefined quality metrics such as accuracy, relevance, consistency, and completeness.

Technology Upgrade & Release Support

• Support testing for AI models during infrastructure, platform, security, and technology upgrades.
• Validate system stability following upgrades to application frameworks, libraries, APIs, and supporting technologies.
• Participate in release readiness reviews, production deployment validation, and post-release verification.
• Ensure appropriate test evidence and documentation are maintained for audit and governance purposes.

Operational Support

• Support production incident investigations related to model or technology changes.
• Assist with root cause analysis and validation of fixes.
• Monitor service quality trends and provide recommendations for quality improvements.
• Work closely with Group Operations and Technology teams to ensure service reliability and business continuity.

Requirements:

Education & Experience

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 6-9 years of experience in software quality assurance, testing, or quality engineering.
• Experience supporting enterprise applications, AI/ML solutions, or digital platforms is preferred.
• Experience in banking, financial services, or operations environments is advantageous.

Technical Skills

• Strong understanding of software testing methodologies and SDLC/STLC processes.
• Experience with API testing tools such as Postman, Swagger, or equivalent.
• Familiarity with SQL and data validation techniques.
• Knowledge of test automation frameworks and scripting languages (e.g., Python, Selenium, Playwright).
• Understanding of CI/CD pipelines and DevOps practices.
• Familiarity with AI/ML or GenAI concepts, model testing, and prompt validation.
• Exposure to monitoring, logging, and observability tools is a plus.

Functional Competencies

• Strong analytical and problem-solving skills.
• Ability to interpret test results and identify root causes of issues.
• Excellent attention to detail and commitment to quality.
• Strong communication and stakeholder management skills.
• Ability to work independently in a fast-paced and evolving environment.

Preferred Skills

• Experience testing AI, GenAI, chatbot, or machine learning solutions.
• Experience validating model performance and conducting AI regression testing.
• Knowledge of model governance, risk controls, and change management processes.

Pay: $7,500.00 - $8,000.00 per month

Benefits:

• Health insurance
• Professional development

Work Location: In person