Opportunities · Internship
AI Engineer Intern
Enzo · Heidelberg, Germany
Role overview
What you'll own
- Design Retrieval-Augmented Generation (RAG) solutions to improve agent performance and accuracy.
Requirements and eligibility
- You cover the following requirements:
- Currently pursuing a Master's or PhD in Computer Science, AI, Mathematics, or a related engineering field.
- Familiarity with agentic build platforms such as RAGFlow (through coursework, projects, or self-study).
- A sense for choosing the right model for the task, knowing when a frontier model is warranted vs.
Preferred, not required
- A strong interest in agentic AI systems and workflows, ideally with some hands-on experience.
Dates for this one
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Posted
Feb 19, 2024
Applications close
Oct 26, 2026
41 days left
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Read the full listing context
drop. Our proprietary sensor technology helps monitor water systems in buildings in real-time, enabling early detection of leaks and preventing costly water damage.
Backed by significant funding and a rapidly growing customer base, Enzo is on a mission to protect properties while conserving one of our most vital resources - water.
As an AI Engineer Intern , you'll join our AI team and get hands-on with the systems that make our agents smarter and our predictions sharper. It's real work with real ownership, plenty of room to experiment, and a direct line from what you build to the impact it has.
Tasks Tasks that you will work on: • Work closely with our product and engineering teams to build, test, and improve AI-powered features. • Design Retrieval-Augmented Generation (RAG) solutions to improve agent performance and accuracy.
• Automate data collection, data labelling and data pipeline engineering. Requirements You cover the following requirements: • Currently pursuing a Master's or PhD in Computer Science, AI, Mathematics, or a related engineering field.
• A strong interest in agentic AI systems and workflows, ideally with some hands-on experience. • Familiarity with agentic build platforms such as RAGFlow (through coursework, projects, or self-study).
• A sense for choosing the right model for the task, knowing when a frontier model is warranted vs. when a smaller, faster, or cheaper one gets the job done.
• Some exposure to vector databases and retrieval systems. • Excellent command of English, both written and spoken. Don't meet every requirement? Apply anyway.
We value curiosity and a willingness to learn just as much as a perfect checklist. Benefits • Impact: Your work will directly contribute to the development of our AI solutions for sustainable water management.
Work on real-world AI with immediate impact. • Exposure: Work closely with Enzo's AI team, gaining insights into machine learning applications in IoT.
• Learning & Development: Gain hands-on experience in AI, machine learning, and data analysis. • Growth Potential: You will have many opportunitoes to grow personally in an open-minded and international team.
Sound like you? We'd love to hear from you, apply now and tell us what excites you about building AI at Enzo.
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Last read 8 hours ago · pay stated in the listing · closing date published