AI QA Intern

Key Responsibilities

• AI & LLM Evaluation
• Test AI chatbots and conversational agents for correctness, relevance, consistency, and instruction-following.
• Identify hallucinations, unsupported answers, prompt failures, and context-retention issues in multi-turn conversations.
• Validate language consistency across English, Hindi, and Hinglish, including language-switching scenarios.
• Design edge cases, negative tests, and unexpected-input scenarios.
• Voice AI & Conversational Testing
• Test real-time voice agents and AI avatar interactions across end-to-end conversation flows.
• Validate the voice pipeline: Speech-to-Text (STT), LLM response generation, and Text-to-Speech (TTS).
• Check response latency, speech quality, interruptions, silence, background noise, and users speaking over the agent.
• Test session behaviour, connection failures, and reconnection scenarios.
• API & Functional Testing
• Test REST APIs using Postman; validate payloads, HTTP status codes, authentication, and error handling.
• Create positive, negative, boundary-value, and regression test cases.
• Perform basic SQL checks and validate relevant data when required.
• Report defects with clear reproduction steps, expected versus actual results, and supporting logs.
• Test Automation & Quality Reporting
• Learn and contribute to UI/API automation using Playwright with JavaScript/TypeScript or Python.
• Write reusable automated tests, run regression suites, and investigate failures.
• Use Git-based workflows and learn how automated tests fit into CI/CD pipelines.
• Prepare test plans, test data, execution reports, and collaborate with developers to resolve defects.

Requirements & Tech Stack

• Currently pursuing a B.Tech / B.E. in Computer Science, IT, or a related engineering discipline.
• Strong logical reasoning, analytical thinking, and a habit of asking “what could go wrong?”
• Basic programming knowledge in Python, JavaScript, Java, or another programming language.
• Foundational understanding of software testing, web applications, REST APIs, HTTP, and JSON.
• Clear communication, attention to detail, ownership, and willingness to learn.

Good to Have (Not Mandatory)

• Hands-on exposure to Postman, Playwright, Selenium, pytest, or another testing tool.
• Basic SQL, Git/GitHub, Linux commands, or CI/CD knowledge.
• Interest in Generative AI, LLMs, prompt engineering, AI agents, speech technology, or chatbots.
• Academic projects involving software development, AI, automation, or testing.