AI & Knowledge Engineering Intern (m/w/d)

InternshipHybrid
Heidelbergvia rewire CareersPosted Oct 14, 2026
Match with my CV

About this role

Make an impact. Be human. Stay curious.

Who we are

AI is transforming the world – and we’re just getting started. With data growing exponentially, the need for smart, impact-driven minds has never been greater. At Rewire, we don’t just follow trends in data & AI – we shape them.

We're on a mission to scale Rewire's impact and our collective knowledge is one of our greatest assets. That's why we're looking for an AI & Knowledge Engineering Intern to make it accessible to everyone in our team. With close guidance from our knowledge engineering team, you'll help revolutionize our intelligent knowledge/expertise system (ideally agentic) to support various workflows (R&D, Commercial, ...).

In this role, you'll gain hands-on experience across the full lifecycle of an AI solution, apply structured thinking, and contribute fresh ideas to a project that drives effectiveness and efficiency across the company.

This is a chance to take ownership, develop your technical and analytical skill set, and see firsthand how a fast-growing data & AI company puts AI to work for its own teams.

Be part of a dynamic team of data & AI talents who tackle meaningful challenges and have fun along the way. Wanna join the ride?

Where you’ll make a difference

  • Get hands-on across the full solution lifecycle – exchange with stakeholders, map our existing knowledge landscape, and support design, execution and optimization
  • Build a knowledge graph – organize our expertise and knowledge into something that's searchable to both humans and agents
  • Create intelligent agents – develop and deploy agentic workflows to transform how we work

What makes us the right choice for you

  • Learn and grow your AI engineering capabilities – gain hands-on experience in a fast-paced environment, building a real solution with knowledge graphs, LLMs, and agentic AI that drives business impact
  • Develop a technical and analytical skill set – learn and apply concepts like ontology design, retrieval-augmented generation (RAG), and agent frameworks, evaluate solution performance, and turn insights into actionable improvements
  • Thrive in a culture that values initiative and curiosity – where your ideas are welcomed, your contributions matter, and you’re encouraged to take ownership from day one
  • Bridge theory and practice – bring your academic knowledge to life by working on real management challenges in the data & AI space
  • Receive hands-on coaching and mentorship – work closely with experienced professionals who provide continuous feedback and support your development
  • Collaborate with a dynamic, international team – join a group that’s ambitious, supportive, and passionate about what they do, with plenty of room for learning (and fun!) along the way

Before you apply

  • 1Which parts of your CV prove experience with this kind of role?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

Loading similar active roles...