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Day 79
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München Kreativquartier
Live, first seen by us 79 days agoYou are enrolled in or just graduated (last 3 months) from a Master’s program in Computer Science, Data Science, Data Engineering, Information Systems, or a similar program at a top university
Take a rough problem statement to a working system in production
Present results to the people who make investment decisions
Work on the systems behind the firm's investment intelligence
expected to take a problem from a rough brief to a system running in production
to present your results to the people who make the investment decisions
You will work side by side with investors and engineers on the systems behind our investment intelligence
You are enrolled in or just graduated (last 3 months) from a Master’s 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
can write evaluations that show whether your model or pipeline actually works
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
You are fluent in English, including technical language.
Your profile - You are enrolled in or just graduated (last 3 months) from a Master’s 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.
And while we’re serious about our mission, we also genuinely enjoy working together and building lasting relationships along the way.
In the employer’s words · Read in context
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Day 79
Up longer than most. Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
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- You are enrolled in or just graduated (last 3 months) from a Master’s 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 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.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
UVC Partners is one of Europe’s 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, Europe’s largest entrepreneurship center, we are proud partners to some of Europe’s most ambitious founders – including Flixbus, Isar Aerospace, finn.auto, Proxima Fusion, and Aleph Alpha.
At UVC Partners, we’re 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 we’re serious about our mission, we also genuinely enjoy working together and building lasting relationships along the way.
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.
You are enrolled in or just graduated (last 3 months) from a Master’s 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.
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.
Unternehmertum Venture Capital Partners GmbH , c/o Munich Urban Colab, Freddie- Mercury-Straße 5, 80797 Munich, Germany
www.uvcpartners.com
UVC Partners is an equal opportunity employer.
UVC Partners is an independent venture capital fund. For efficiency, we use certain shared services from UnternehmerTUM. This is why parts of the application process may appear UTUM-branded, and your application will be processed by UVC Partners and UnternehmerTUM.
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München Kreativquartier
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