Develop an AI-based solution to automatically generate QA test scenarios from functional specifications or user stories. Evaluate test coverage and integrate the generated tests into the overall QA lifecycle.

Responsibilities:

• Design and implement LLM-powered pipelines (OpenAI/Azure OpenAI, LangChain) for test-case generation
• Automate UI/API tests using Playwright or Selenium and structure them with PyTest
• Define and measure coverage/quality metrics for generated tests; iterate to improve accuracy
• Integrate with QA management tools (Jira/Xray) and CI/CD (GitHub Actions); containerize with Docker
• Document approach, experiments, and deployment guidelines

Technologies/Tools:

• Python, OpenAI/Azure OpenAI, LangChain
• Playwright or Selenium, PyTest
• GitHub Actions, Docker, Jira/Xray

Outcomes:

• Working prototype for AI-generated test scenarios
• Automation suite integrated into the QA workflow with reporting and coverage metrics

📧 Pour postuler: internships@looyas.com