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AI Engineer Intern

Enzo · Heidelberg

On-siteJuniorPosted 14 Sept 2026

What this role requires

2 requirements, read out of the advert rather than guessed from the job title:

Also mentioned, not required: Data Analysis, RAG, Vector Databases, English. Worth having, but their absence is not what gets a CV filtered out.

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Job description

Enzo is a B2B PropTech and WaterTech startup revolutionizing the real estate and insurance industry with its cutting-edge IoT and AI solution, one.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.

Read the full description (17 more sections)

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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