Role Summary-

We are looking for enthusiastic and detail-oriented QA Interns who are passionate about software quality and eager to learn AI-assisted testing practices. The ideal candidate should have a basic understanding of software testing concepts and an interest in leveraging AI tools to improve test design, test execution, defect analysis. As an AI-Assisted QA Intern, you will work closely with the QA, Product, and Engineering teams to validate application functionality, identify defects, and contribute to delivering high-quality software.

You will also gain hands-on experience with AI-powered testing tools and modern QA practices. Key Responsibilities-

Understand application functionality, business workflows, and user journeys.

Execute manual test cases for web and API applications.

Identify, document, and track software defects with transparent reproduction steps.

Learn and use AI tools to assist in:

Test case generation

Test data creation

Defect analysis

Test documentation

Assist in validating new features, enhancements, and bug fixes.

Support regression, smoke, sanity, and exploratory testing activities.

Work with the QA team to understand testing processes and quality best practices.

Assist in executing manual test cases and report execution results under guidance.

Participate in daily stand-up meetings and sprint activities.

Collaborate with Product, Development, and QA teams to ensure high-quality releases.





Maintain proper documentation of test cases, defects, and test execution reports.

Required

Skills-

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or final-year students awaiting graduation).

Basic understanding of Software Testing Life Cycle (STLC) and Software Development Life Cycle (SDLC).

Knowledge of Manual Testing concepts.

Understanding of Functional, Regression, Smoke, and Sanity Testing.

Basic knowledge of REST APIs and API testing concepts.

Familiarity with defect tracking tools such as Jira (preferred).

Good analytical and problem-solving skills.

Strong written and verbal communication skills.

Willingness to learn AI-assisted software testing practices.

Ability to work effectively in a collaborative team environment. Good to Have-

Basic programming knowledge in Java, JavaScript, or Python.

Familiarity with Git/GitHub.

Exposure to AI tools such as ChatGPT, GitHub Copilot, Claude, Gemini, Cursor, or similar AI assistants.

Knowledge of API testing tools such as Postman.

Learning

Opportunities-

During the internship, candidates will receive hands-on exposure to:

AI-Assisted Software Testing

Manual Testing

Performance Testing Basics

Defect Lifecycle Management

Agile & Scrum Methodology

CI/CD and QA Best Practices

Prompt Engineering for QA

📌 Quality Assurance Intern (Bengaluru)
🏢 Wadhwani Foundation
📍 Bengaluru