IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing always choosing the big urgent and mind-bending work that endures and shapes generations. Our passion for discovery and excitement for defining the future of tech is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.
IBM's product and technology landscape includes Research Software and Infrastructure. Entering this domain positions you at the heart of IBM where growth and innovation thrive.
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
- 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
- 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