AI & Data Engineering Intern

At we build AI data  and software-driven products for industrial and manufacturing clients across Europe. This internship is designed as an intensive hands-on engineering program focused on building real PoCs and MVPs not training exercises. During three months you will rotate across multiple projects and technology stacks and work closely with software engineers data engineers AI engineersUX designersand client-facing teams.

The goal of the program is to prepare you for a future role in teams that design and deliver fast production-ready prototypes and MVPs in close collaboration with users and stakeholders.

The position

As an AI & Data Engineering Intern you will work on real client and internal innovation projects and contribute across the full product lifecycle from understanding the problem through data and AI integration to backend frontend and deployment.

You will also be exposed early to software architecture design and learn how to make pragmatic architectural decisions for fast-moving PoC and MVP projects.

Key responsibilities

• Contribute to the implementation of PoCs and MVPs across different domains and technology stacks.
• Participate in problem discovery sessions together with engineers UX designers and project leads.
• Design and implement backend services and APIs.
• Support frontend implementation and integration with UX designs.
• Work with data pipelines data models and analytics components
• Contribute to AI-enabled features (LLMs embeddings automation or ML components where applicable).
• Participate in basic DevOps and deployment workflows (CI/CD cloud environments containerisation).
• Collaborate closely with UX and product teams to translate user needs into working software.
• Learn and apply pragmatic software architecture patterns suitable for fast delivery and future scalability.
• Actively communicate progress challenges and technical decisions within the team.

Qualifications :

• Currently enrolled in or recently completed a degree in Computer Science Software Engineering Data Science or a related technical field.
• Solid programming fundamentals in at least one modern language (e.g. Python JavaScript/TypeScript Java or similar).
• Basic understanding of (Web application development APIs and backend services and relational or NoSQL databases).
• Excellent written and spoken English.
• Availability for a full-time 3-month internship.

The skills you will actively develop

• Full-cycle product engineering (backend frontend data AI deployment)
• Applied data engineering and data modelling
• Practical use of AI components in real software systems
• Software architecture fundamentals for PoCs and MVPs
• Collaboration with UX and product teams
• Client-oriented engineering and technical communication 

The ideal candidate profile

The ideal candidate for this role is not only technically strong but also highly curious and collaborative.

This role is a strong match if you:

• Are Interested in  AI data engineering full-stack development and DevOps and want to understand how they work together in real systems.
• Enjoy building things end-to-end instead of working on isolated technical tasks.
• Are comfortable working in environments where requirements are evolving and problems are not always fully defined.
• Are motivated to learn software architecture and system design early in your career.
• Enjoy collaborating with designers engineers and non-technical stakeholders and communicate clearly by asking thoughtful questions and explaining technical ideas to different audiences.
• Are proactive self-driven and take ownership of your learning and contributions.

Additional Information :

What you can expect at

• A structured 3-month rotation across multiple real projects.
• Hands-on experience with modern AI data and cloud technologies.
• Close collaboration with senior engineers and UX professionals
• Exposure to industrial and manufacturing use-cases.
• A strong learning environment focused on pragmatic engineering and fast delivery.
• A potential long-term career path building AI-native PoCs and MVPs  and end-to-end software solutions for real clients.

Remote Work :

No

Employment Type :

Full-time