QA Automation Engineering Intern – AI Platforms

Intugle · Bangalore

About Intugle

Intugle is a GenAI-powered platform that enables enterprises to transform traditional and legacy applications with AI-powered intelligence. Our platform helps organizations build production-grade AI applications by combining enterprise data, semantic models, LLMs, and AI agents.

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. What You'll Do

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.

What You'll Bring

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.

Must Have

Strong proficiency in Python.

Good understanding of SQL and database concepts.

Strong logical reasoning and debugging skills.

Basic understanding of software testing principles.

Familiarity with Git or other version control systems.

Passion for building high-quality software and learning test automation.

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 through coursework or personal projects.

Familiarity with CI/CD concepts and automated testing pipelines.

Experience using AI coding assistants such as GitHub Copilot or ChatGPT.

Personal projects, hackathons, or internships involving software development or testing.

What You'll Learn

Build and maintain automation frameworks for enterprise AI applications.

Test production-grade LLM, RAG, and Agentic AI systems.

Work with APIs, databases, semantic models, and enterprise data platforms.

Gain exposure to CI/CD, Docker, cloud-native applications, and up-to-date engineering workflows.

Learn industry best practices in software quality, automation, and AI evaluation.

Work closely with experienced engineers building AI products used by leading global enterprises.

Internship Details

Location: Bangalore (In-office)

Duration: 4–6 months

Joining: Immediate / As soon as available

📌 QA Engineering Intern - AI Platforms (Bengaluru)
🏢 Intugle
📍 Bengaluru