AI Prompt Engineering Intern

Job Overview

We are seeking a motivated and creative AI Prompt Engineering Intern to join our team. This role is ideal for students or recent graduates who are passionate about Artificial Intelligence, Large Language Models (LLMs), and Generative AI technologies. As a Prompt Engineering Intern, you will help design, test, optimize, and document prompts that improve the performance, accuracy, and reliability of AI-powered applications.

Responsibilities

• Design and refine prompts for AI models such as ChatGPT, Claude, Gemini, and other LLMs.
• Test prompt effectiveness across different use cases and scenarios.
• Analyze AI-generated outputs and identify opportunities for improvement.
• Collaborate with product, engineering, and content teams to develop AI-driven workflows.
• Create prompt libraries, templates, and documentation.
• Conduct research on emerging prompt engineering techniques and AI trends.
• Evaluate model performance using defined quality metrics.
• Assist in developing conversational AI experiences, chatbots, and automation solutions.
• Document findings, experiments, and best practices.

Requirements

• Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Linguistics, English, Business, or a related field.
• Strong English written and verbal communication skills.
• Excellent analytical and problem-solving abilities.
• Curiosity about Generative AI and Large Language Models.
• Ability to write clear, structured, and detailed instructions.
• Familiarity with AI tools such as ChatGPT, Gemini, Claude, or similar platforms.

What We Offer

• Hands-on experience working with cutting-edge AI technologies.
• Exposure to real-world AI product development.
• Mentorship from AI and technology professionals.
• Opportunity to contribute to innovative AI projects.
• Development of practical skills in prompt engineering, AI evaluation, and automation.

Internship Details

• Position: AI Prompt Engineering Intern
• Duration: 2 months
• Location: On-site/ Hybrid
• Employment Type: Internship
• Stipend: As per company policy