Location: Bangalore, India (Hybrid / On-site)

Duration: 6 Months

Stipend: 15K/ month

About the Role

We are looking for a highly motivated QA Automation Intern to help build the next generation of AI-driven products. This role goes beyond manual testing—you will design automation scripts, evaluate AI-generated outputs, and ensure automated workflows operate reliably. You will work closely with engineering and AI teams to validate complex logic, test integrations, and maintain high-quality standards across our systems.

Key Responsibilities

- Automation Development

• Design and maintain automated test scripts for web applications.
• Work with automation frameworks such as Playwright, Selenium, or Cypress.
• Identify and fix flaky or unstable tests.

- LLM Evaluation

• Develop strategies to evaluate AI-generated responses.
• Detect hallucinations, prompt injection attempts, and formatting errors.
• Create programmatic validation methods for Large Language Model outputs.

- Workflow Testing

• Test complex automation workflows built with n8n, Zapier, or Make.com.
• Validate data flow between multiple APIs and systems.
• Ensure automation logic works correctly under edge cases.

- API Testing

• Test backend endpoints using tools like Postman or Python scripts. -
• Validate request/response structures and integration reliability.

- Problem Solving

• Perform root cause analysis for automation failures.
• Identify performance bottlenecks and workflow failures.

Technical Requirements

• Programming - Strong foundation in Python or JavaScript.
• Logical Thinking - Ability to map complex workflows and Identify single points of failure in automation pipelines.
• AI Curiosity - Basic understanding of how Large Language Models (LLMs) work. Familiarity with evaluating outputs from models such as GPT, Claude, or Gemini.

Education

• Recent graduate in B.E./B.Tech (Computer Science / IT) or equivalent

What You’ll Gain

• Hands-on experience with AI product testing and automation.
• Exposure to LLM evaluation techniques and workflow automation platforms.
• Opportunity to work with modern AI-driven software systems.
• Mentorship from experienced engineers and AI practitioners.