AIAQA
Position:
Worldwide, Remote Full-time

AI-Augmented QA Engineer

Company Headquarter:
Canada
AI
SQL
Postman
GitHub
GitHub Actions
Git
Cloude

About the role

We are looking for an

AI-Augmented QA Engineer

to join our team for a long-term project.
 
Project
A SaaS-based, data-driven eCommerce platform built on AI-powered, fully cloud-native technology for the North American market.
 
Main QA Skills
• Strong knowledge of software testing principles
• Test case design and exploratory testing
• Web application and API testing
• Regression, integration and end-to-end testing
• REST API testing: Postman, Swagger/OpenAPI
• SQL and database validation
• Jira або інша bug-tracking система
• Git
• CI/CD: GitHub Actions, GitLab CI або Jenkins
 
AI Skills and Experience
• Hands-on experience using AI coding assistants such as GitHub Copilot, Claude, ChatGPT, Cursor, or similar tools in daily QA activities.
• Ability to use AI to design comprehensive test scenarios, including functional, negative, boundary, and edge cases.
• Experience generating, reviewing, debugging, and refactoring automated tests with AI assistance.
• Ability to use AI tools to develop and maintain Playwright-based UI and API automation.
• Experience using AI to analyze application logs, stack traces, failed tests, and CI/CD pipeline results.
• Ability to transform requirements, user stories, acceptance criteria, and reported defects into structured test cases and automated tests.
• Experience using AI to generate realistic test data and identify missing test coverage.
• Ability to create clear and effective prompts and provide AI tools with appropriate technical context.
• Strong critical-thinking skills and the ability to validate AI-generated code and recommendations rather than relying on them without review.
 
Nice to Have
• Experience with AI agents, Playwright MCP, or agent-based browser automation.
• Experience creating reusable AI workflows, prompts, or custom instructions for QA activities.
• Familiarity with AI-assisted exploratory testing and automated failure classification.
• Experience using AI to identify, investigate, and reduce flaky tests.
• Experience testing AI-powered or LLM-based product features, including evaluation of output quality, consistency, and failure scenarios.
 
We Offer
• Full-time remote position
• Long-term project
• Opportunity to work with modern cloud-native and AI-powered technologies
• Friendly and professional international team

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