Live opening · Posted 8 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
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, 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
Work arrangement
No
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