AI Automation Quality Engineer

Job Information

Core Skills

AI Testing Areas

• Generative AI Testing
• Large Language Model Validation
• UI & API Automation Testing
• Cloud-Native Application Testing
• BDD & Test Automation Frameworks
• Performance & Security Testing
• AI-Powered Quality Engineering

Key Responsibilities

• Design and maintain scalable automation frameworks.
• Improve automation coverage, quality, and engineering efficiency.
• Implement AI-enabled testing practices across products.
• Collaborate with product, engineering, and delivery teams.
• Drive adoption of modern quality engineering practices.
• Contribute to continuous improvement initiatives.

Required Skills

• 5+ years in automation testing and quality engineering.
• 1+ year of experience using AI, GenAI, or LLM technologies.
• Hands-on expertise in Playwright, Selenium, and Cucumber.
• Strong programming skills in TypeScript, Python, and Node.js.
• Experience with API automation, cloud-native systems, and BDD.
• Knowledge of Azure, AWS, or GCP environments.

Why This Role Matters

This role combines modern software quality engineering with emerging AI technologies. As organizations increasingly adopt Generative AI and cloud-native platforms, professionals who can automate testing, validate AI systems, and build scalable quality engineering solutions are becoming critical to software delivery success.

Disclaimer: This job information is shared for career guidance purposes only. Applications are processed through the employer's official recruitment platform.