AI-Augmented QA Engineer
Summary
Remote QA engineer focused on AI-augmented testing of a SaaS, cloud-native eCommerce platform for the North American market. Day to day: test case design, web/API and regression testing, SQL validation, and building Playwright UI/API automation with AI assistants (Copilot, ChatGPT, Claude, Cursor) inside CI/CD pipelines.
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