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Opportunities · Internship

AI Engineer Intern

Enzo · Heidelberg, Germany

Applies on the employer's siteSeen first yesterday41 days left to apply≈$39-$62/hr

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

Only the dates this listing publishes. Anything it leaves out is left out here too.

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