Your role and responsibilities

We're seeking a creative and technically-minded intern to join our team as a Developer Advocacy & AI Engineer Intern. This is a unique opportunity to bridge the gap between our cutting-edge AI technology and the developer community while contributing to strategic product decisions. You'll be at the forefront of showcasing BeeAI's capabilities through compelling content, demos, and tutorials while gathering invaluable user insights to shape our product roadmap.

‍

‍

Developer Advocacy & Content Creation

Design and build engaging tutorials, demos, and proof-of-concept applications that showcase BeeAI's capabilities

Create compelling technical content including blog posts, documentation, code samples, and video tutorials

Contribute to open-source projects and community repositories

‍

‍

Product Strategy & User Insights

Collect, analyze, and synthesize feedback from developers, users, and community members that translate user needs and pain points into actionable product insights and recommendations

Monitor industry trends and competitive landscape in the agentic AI space

‍

‍

Required education

High School Diploma/GED

‍

‍

Preferred education

Bachelor's Degree

‍

‍

Required technical and professional expertise

• Proficiency in Python: Strong coding skills with experience in building scripts and notebooks
• LLM Fundamentals: Solid understanding of large language models, their capabilities, limitations, and use cases
• AI Agents & Agentic AI: Hands-on experience building, deploying, or working with AI agents. Show us what you've built!
• Technical Communication and Creative problem Solving: Excellent written and verbal communication skills with ability to think outside the box and explain complex concepts simply
• Self-Motivated: Comfortable working independently and taking ownership of projects

‍

‍

Preferred technical and professional experience

• Proficiency in Python: Strong coding skills with experience in building scripts and notebooks
• LLM Fundamentals: Solid understanding of large language models, their capabilities, limitations, and use cases
• AI Agents & Agentic A

‍