QA AI Automation Engineer

Company Name: TerraFinn Technologies

Website: www.terrafinn.com

Mode: Full-time, remote

Experience: 8+ Years

Joining: Immediate

Lead/Senior Quality Assurance

About the Role

We are seeking a highly skilled Automation QA Engineer with expertise in AI-driven testing to join our quality engineering team. The ideal candidate will have strong experience in building automated test frameworks, integrating AI/ML tools to optimize testing workflows, and ensuring the reliability, scalability, and performance of complex applications.

Key Responsibilities

• Design, develop, and maintain robust test automation frameworks for web, mobile, API, and enterprise applications.
• Leverage AI/ML-powered tools (e.g., Testim, Mabl, Applitools, Functionize, or custom AI solutions) to enhance test automation, defect prediction, and intelligent test case generation.
• Implement self-healing test scripts to reduce test maintenance effort.
• Collaborate with development, DevOps, and product teams to ensure continuous testing in CI/CD pipelines.
• Analyze large test execution data sets to identify trends, flakiness, and performance bottlenecks.
• Integrate AI-based test data generation and predictive analytics to optimize coverage.
• Ensure high standards of quality for functional, regression, integration, and performance testing.
• Mentor junior QA engineers on test automation best practices and AI-driven testing methodologies.

Required Skills & Qualifications

• Bachelors/Master’s degree in Computer Science, Engineering, or related field.
• 4–8 years of experience in Test Automation and Quality Assurance.
• Proficiency in automation tools/frameworks: Selenium, Cypress, Playwright, Appium, RestAssured, TestNG/JUnit.
• Strong programming skills in Python, Java, or JavaScript/TypeScript.
• Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps).
• Hands-on experience with AI testing tools (Testim, Applitools, Mabl, etc.)
• Familiarity with LLMs (ChatGPT, Claude, Gemini) for testing purposes
• Prompt engineering know-how
• Experience testing AI-powered features (chatbots, NLP, recommendations)
• Knowledge of Responsible AI principles and bias detection
• Exposure to AI observability/MLOps platforms
• Data quality testing for ML datasets
• Familiarity with AI coding assistants like GitHub Copilot
• Familiarity with cloud-based testing platforms (BrowserStack, Sauce Labs).
• Strong understanding of API testing (Postman, Karate, RestAssured) and performance testing (JMeter, k6, Locust).
• Knowledge of AI concepts such as NLP, anomaly detection, predictive analytics, and generative AI for QA is a plus.

Preferred Skills

• Experience with self-healing test automation frameworks.
• Exposure to GenAI (LLMs) for test case generation and automation.
• Knowledge of microservices testing and containerized environments (Docker, Kubernetes).
• Experience in shift-left testing and TestOps practices.

Soft Skills

• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Ability to adapt to rapidly changing technologies and environments.

What We Offer

• Opportunity to work with cutting-edge AI-driven QA technologies.
• Collaborative, innovative, and inclusive work culture.
• Competitive salary and benefits package.
• Career growth with exposure to AI and next-gen automation practices.