AI Powered QA Intelligence System — Automated Test Case Generation, Bug Reporting Pipeline

Job Details

Description

Summary Developed an AI powered QA intelligence system that automates the entire quality assurance workflow from test case generation to bug reporting without any manual documentation effort. The system replaces the time consuming task of manually writing test cases, creating bug reports, and tracking QA progress by delivering a smart AI driven pipeline that handles everything automatically from input to reporting. Built using n8n workflow orchestration and OpenAI GPT-4o, the system takes a feature description or user story as input, triggers the AI layer to generate detailed test cases with pass and fail conditions, and automatically creates structured bug reports with severity levels and steps to reproduce. All bugs are instantly logged and assigned to the relevant team members in Azure DevOps without any manual entry. Test execution status is monitored in real time and synced to Google Sheets giving the team a clear and always up to date view of test coverage and bug count. The owner receives instant Slack or email alerts when critical bugs are detected and a full weekly QA progress report is delivered automatically so nothing ever slips through. Key Highlights - AI Test Case Generation using OpenAI GPT-4o - Automated Bug Report Creation with Severity Classification - Auto Logging & Team Assignment in Azure DevOps - Real Time Test Execution Monitoring - Live QA Dashboard in Google Sheets - Instant Critical Bug Alerts via Slack / Email - Weekly Automated QA Progress Reports - Clean, Modular n8n Workflow Tech Requirements n8n • OpenAI GPT-4o • Azure DevOps API • Google Sheets API • Slack API • Gmail API

Skills

Artificial Intelligence Python Automated Testing Test Automation Framework Data Science

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telegram	pre_ai_job_alert	sent	Wed, Jul 22, 2026 4:26 PM	-

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