Developer Advocacy & AI Engineer Intern: 2026
Developer Advocacy & AI Engineer Intern: 2026 🚀🌐
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
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