QA Automation Intern (LLM & Workflow Testing)
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.