Full Stack QA Engineer

Skills

About the Role

You will develop test scenarios and detailed test cases for functional and non-functional requirements across mobile, web, and API products. You will prepare test data, tools, and environments; execute automated and manual tests; document results; manage defects; and maintain test documentation. You will improve quality through automation, analyze and report QA outcomes, contribute to knowledge sharing, support junior QA engineers, and serve as a subject-matter expert for assigned modules. You will use AI tools and OpenAI APIs to accelerate testing, validate LLM-driven applications using prompt engineering and RAG techniques, automate API interactions, secure AI workflows, and monitor AI and ML systems for bias, drift, hallucinations, and performance deviations.

Requirements

• 3+ years of experience developing, executing, and maintaining automated test cases for mobile applications, web applications, and/or APIs
• Professional experience with Appium, Playwright, Selenium, or Rest-Assured
• Experience using Cucumber to define and execute test cases
• Knowledge of CI/CD tools such as GitHub Actions or Bitrise
• Basic understanding of microservices architecture and testing challenges
• Ability to analyze technical requirements, design test strategies, and create detailed test cases
• Experience with AI productivity tools including NotebookLM, Gemini, Cursor AI, and GitHub Copilot
• Knowledge of OpenAI API usage, key management, embeddings, and LLM integration workflows
• Familiarity with MCP server concepts and test automation pipeline integration
• Understanding of AI validation for bias, hallucinations, drift, and robustness
• Business-level English

Responsibilities

• Analyze testing requirements and develop comprehensive test scenarios
• Design detailed test cases for functional and non-functional requirements
• Prepare and manage test data, tools, and environments
• Execute test cases and scripts and document results
• Drive quality improvement through test automation and manual validation
• Log, track, and verify defects
• Collect, analyze, and report test results and QA activities
• Recommend solutions for identified issues
• Maintain test documentation for new features and regression testing
• Contribute to testing discussions, knowledge management, and continuous improvement
• Serve as a subject-matter expert for designated modules
• Guide and support junior QA engineers through onboarding and training
• Use AI tools to accelerate test design, automation, and exploratory testing
• Apply prompt engineering and RAG techniques to validate LLM-driven applications
• Automate API interactions and secure AI workflows using OpenAI keys, LLM models, and MCP server integrations
• Test and monitor AI and ML systems for bias, drift, hallucinations, and performance deviations

Benefits

• Super flex time with no core hours
• Annual leave of up to 14 days in the first year
• Personal leave
• Social insurance
• 401K
• Translation and interpretation support
• Visa sponsorship
• Relocation support