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UVC Partners Data & AI AI Engineer Internship (mfx)

UnternehmerTUM


Job Location:

München - Germany

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (3 days ago)
Application Deadline: 29 December 2026
Vacancies: 1 Vacancy

Job Summary

About us
UVC Partners is one of Europes leading early-stage venture capital firms. With our fourth fund generation of 250 million we invest in disruptive B2B startups at the seed and Series A stage across Europe. Our focus areas include enterprise software mobility and industrial technologies.

Headquartered in Munich and closely integrated with UnternehmerTUM Europes largest entrepreneurship center we are proud partners to some of Europes most ambitious founders including Flixbus Isar Aerospace Proxima Fusion and Aleph Alpha.

At UVC Partners were driven by a deep passion for entrepreneurship and its power to positively shape society. Environmental and social responsibility are core to our DNA. We hold ourselves to the highest standards in everything we do. As a firm we continuously reinvent ourselves to stay ahead and best serve our portfolio and investors. We believe in ownership over hierarchy and foster a culture built on collaboration curiosity and personal engagement. And while were serious about our mission we also genuinely enjoy working together and building lasting relationships along the way.
Your mission
Starting in November 2026 you will join our Data & AI team full-time for at least six months based at the Munich Urban Colab. You will work side by side with investors and engineers on the systems behind our investment intelligence. You will be treated as a full member of the team expected to take a problem from a rough brief to a system running in production and to present your results to the people who make the investment decisions.

How we work:

We are an AI-powered development team. Everyone here codes with AI assistance and we treat that as a craft. You need to know which parts of a problem to hand over where these tools fail quietly and how to review output you did not write.

Agency matters a lot in our team. You get mentorship context and access to everyone. You do not get someone assigning you tasks every morning. Take a rough problem statement come back with an approach show drafts while they can still change and flag what is not working. What you bring should outweigh what it costs us to support you.

Your profile
  • You are enrolled in or just graduated (last 3 months) from a Masters program in Computer Science Data Science Data Engineering Information Systems or a similar program at a top university.

  • You write modular Python outside notebooks are comfortable with Git and the command line and can write evaluations that show whether your model or pipeline actually works.

  • You are fluent with AI-assisted coding tools and you have judgment about them. You know what they do well where they quietly fail and you review everything they produce. You do not ship AI slop.

  • You have built something with LLMs that goes beyond a demo such as an agent with tool use a retrieval pipeline or a structured extraction workflow and you are comfortable with SQL Docker and deploying services to the cloud.

  • You take full ownership of your work operate with a high degree of autonomy and show tenacity when things do not go as planned.

  • You are fluent in English including technical language. It is what you will work write and present in. German is helpful but not required.

What we offer
  • Network:A desk at the Munich Urban Colab our main office with the option of a second one in Garching plus access to the UnternehmerTUM ecosystem of startups experts and investors.
  • Team & Culture:Monthly team lunches our regular Stammtisch free sports classes Makerspace access for your personal projects and regular team events.
  • Compensation:An attractive salary for the full six months of your master thesis or internship.
  • Ownership: Research that is yours end to end and feeds real fund decisions.
  • Equipment:A MacBook or a Windows laptop whichever you work best on.
  • AI Tooling: Full access to the AI development stack we use daily and a team that will teach you to use it properly.
  • Real Data: Proprietary venture data that researchers rarely get access to with the pipelines to use it productively.

Interested
Please send a one-page CV a current transcript and a link to your GitHub or portfolio. Tell us which of these directions interests you most and why. We look forward to hearing from you!
Diversity is important to us
Diversity enriches our team. We explicitly encourage all qualified individuals to apply regardless of gender social and ethnic background sexual orientation religion age or disability.

Required Experience:

Intern


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