QUALITY ENGINEER - GENERATIVE AI X2:

On behalf of our Banking client, Procom is searching for a Quality Engineer for a 6-month role. This position is a hybrid position with 2 days onsite at our client’s Toronto office.

QUALITY ENGINEER - GENERATIVE AI X2 - JOB DESCRIPTION:

This role involves testing and validating generative AI applications to ensure their accuracy and reliability. The position is newly created and offers high chances of extension or conversion to full-time employment, providing exposure to cutting-edge AI technologies.

QUALITY ENGINEER - GENERATIVE AI X2 - MANDATORY SKILLS:

• Experience in test automation tools (Selenium or equivalent framework) - 2 years
• Experience in Python programming, with experience in writing and debugging code for testing purposes - 2 years
• Experience in front-end technologies, particularly Vue.js. - 2 years
• Experience testing AI or machine learning applications, with a focus on generative AI outputs - 2 years
• Solid understanding of software development lifecycles and quality assurance methodologies.
• Excellent problem-solving skills and attention to detail.
• Strong communication and documentation skills to effectively report findings and recommendations.

QUALITY ENGINEER - GENERATIVE AI X2 – NICE-TO-HAVE SKILLS:

• Experience with additional testing tools or frameworks (e.g., Cypress, Playwright).
• Knowledge of CI/CD pipelines and integrating automated tests into the development workflow.
• Familiarity with performance testing and tools like JMeter or LoadRunner.
• Experience working in Agile or Scrum environments.
• Awareness of ethical AI principles and testing frameworks for responsible AI development.

• Develop and execute automated test scripts using Selenium or equivalent tools to ensure the quality and functionality of applications.
• Write and maintain Python code for test automation and validation of application features.
• Conduct thorough testing of front-end technologies, including applications built with Vue.js, to ensure seamless user experiences.
• Test and validate generative AI applications, focusing on the accuracy, reliability, and consistency of outputs.
• Develop and execute test cases to evaluate the performance, scalability, and usability of generative AI applications.
• Identify and document issues related to AI-generated outputs, including edge cases, inconsistencies, and potential biases.
• Ensure compliance with quality standards and ethical guidelines in the use of generative AI technologies.
• Monitor and report on test results, providing actionable insights to improve application quality.