QA Engineering Intern - AI Platforms

Role Overview

Intugle is a GenAI-powered platform that enables enterprises to transform traditional and legacy applications with AI-powered intelligence. As a QA Automation Engineering Intern, you'll work alongside our engineering team to ensure the quality, reliability, and performance of our AI platform. You'll gain hands-on experience testing enterprise AI applications, building automation frameworks, and working with modern software engineering practices.

Responsibilities

• Perform functional, regression, and exploratory testing across our AI platform.
• Develop and maintain automated test cases using Python and modern testing frameworks.
• Test REST APIs and validate application behavior using API testing tools.
• Write SQL queries to validate data accuracy and verify backend data integrity.
• Help build and maintain automated test suites that integrate with CI/CD pipelines.
• Test AI-powered workflows, conversational agents, enterprise data connectors, and semantic models.
• Validate AI-generated outputs using predefined evaluation criteria and help identify regressions across releases.
• Report bugs with clear reproduction steps and collaborate with engineers to resolve issues efficiently.
• Contribute to improving QA processes, test documentation, and automation coverage.
• Explore and leverage AI-assisted testing tools to improve testing productivity and quality.

Requirements

• Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Science, or a related field.
• Strong programming skills in Python.
• Good working knowledge of SQL and relational databases.
• Good understanding of software development fundamentals, data structures, and problem-solving.
• Basic understanding of software testing concepts, including functional and regression testing.
• Familiarity with REST APIs and API testing concepts.
• Strong analytical thinking, attention to detail, and debugging skills.
• Excellent communication and collaboration skills.
• Curiosity to learn modern AI technologies and quality engineering practices.
• Familiarity with Git or other version control systems.

Nice to Have

• Experience with Python testing frameworks such as PyTest.
• Exposure to UI automation tools such as Playwright or Selenium.
• Basic understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI agents.
• Familiarity with CI/CD concepts and automated testing pipelines.
• Experience using AI coding assistants such as GitHub Copilot or ChatGPT.

Skills

• Python
• SQL
• PyTest
• Playwright
• Git