Quality Assurance Engineer - AI

Company Name : TerraFinn Technologies

Client : Fitch Ratings

Website : 25+ lacs

Mode : Full-time, remote

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

Bachelor’s / 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, TestNG / JUnit .

Strong programming skills in Python, Java .

Experience with CI / CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps).

Hands-on knowledge of AI / ML-based test automation tools (Applitools, Testim, Mabl, Functionize, etc.).

Familiarity with cloud-based testing platforms (BrowserStack, Sauce Labs).

Strong understanding of API testing (Postman) and performance testing (JMeter).

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.