Location: Milan, Italy (Hybrid)
Start Date: November or December 2026
Employment Type: Internship

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About Circeus

Circeus is an AI-native holding company that acquires and evolves mission-critical software for the AI era. Through a centralised AI platform deployed across our portfolio, we expand software from systems of record into systems of action.

We have raised $220m+ from leading global institutional investors and serve 250,000+ businesses worldwide, focusing on high-retention, deeply embedded software that powers the everyday economy.

We operate as long-term owners, bringing the benefits of innovation and AI to the real economy.

The Role

This is a hands-on internship in our Milan office, starting in November or December 2026, building AI that people across Circeus and its portfolio companies use every day. You sit inside a live team, take a real problem, and ship a working solution rather than a slide about one.

Day to day, you will prototype with large language models, build agents and automations that replace manual process, and help move portfolio products from systems of record into systems of action through our central AI platform. The work is measured by adoption: a workflow someone relies on, a step that no longer needs a person, a decision made faster and better.

You will work directly with our AI team, engineers and operators across London, Milan and Sarajevo, and present what you build to the people who decide whether it scales.



Strong interns are the first people we look to when the team grows.

It suits someone who already builds with AI because they want to, who would rather ship something small that works than plan something large, and who wants to see how AI changes real businesses rather than demos.

What You'll Do

Prototype and ship AI tools and agents with large language models, taking them from first version to something a team depends on
Build automations that replace manual process inside Circeus and its portfolio companies, and measure the time and errors they remove
Help extend portfolio products from systems of record into systems of action using our central AI platform
Design and test prompts, retrieval pipelines and evaluation sets so outputs are reliable enough to trust in production
Turn messy data and documents into structured inputs that models and people can act on
Work with engineers and operators to embed what you build into real workflows rather than standalone demos
Document what you build so it outlasts your internship and can be reused across teams
Present results and recommendations to senior operators and the AI team

What We're Looking For

Final-year student,



recent graduate or early-career professional in computer science, engineering, mathematics or a related quantitative discipline
Working proficiency in Python and comfort with APIs, data handling and version control
Evidence you have built something with large language models or machine learning, whether a project, a repository, a hackathon entry or prior work
Clear written and spoken English, and the confidence to explain a technical choice to a non-technical audience
Bias to action and comfort operating with incomplete information
Available to start xdwybme in November or December 2026, based in Milan, with the right to work in Italy

Nice to Have

Experience with agent frameworks, retrieval-augmented generation or LLM evaluation tooling
Familiarity with cloud services and shipping code to production
Italian language skills
Interest in B2B software and how businesses actually buy and use it
Side projects, open-source contributions or independent research in AI

Why Circeus

Real problems across a portfolio of software businesses rather than a single product
AI applied to commercial problems, with impact you can measure in adoption and hours saved
Ownership and pace from your first week, with direct access to senior operators and the AI team
One team across London, Milan and Sarajevo, operating as a single system rather than separate offices
Competitive compensation and a clear route to a permanent role for strong performers

If you're excited about building AI with real-world impact, we'd love to hear from you.

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