UVC Partners Data & AI Engineering Working Student (mfx)
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Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
About us
UVC Partners is a leading venture capital firm that invests in European B2B tech startups and has offices in Munich and Berlin. With more than 600 million in assets under management the VC typically invests between 1 to 10 million initially and up to 30 million per startup in the areas of DeepTech ClimateTech Mobility and Software/AI. As an independent partner of UnternehmerTUM Europes leading startup hub UVC Partners has unique access to proprietary deal flow more than 1000 corporates and SMEs as well as to talents from the Technical University of Munich which belongs to the best European technical universities. UVC Partners investment portfolio includes Flix Isar Aerospace planqc Proxima Fusion Reverion Tacto TWAICE DeepDrive STABL and many more. All portfolio companies and founders benefit from the teams extensive investment and exit experience their ability to build sustainable category leaders and the network of UnternehmerTUM enabling them to speed up market entry.
Learn more at .
Location: Munich / Hybrid
Start Date: March 2026
Hours: 20 hours/week
Commitment: 9-12 months
Learn more at .
Location: Munich / Hybrid
Start Date: March 2026
Hours: 20 hours/week
Commitment: 9-12 months
Your mission
As the Data & AI Engineer Working Student you will join a specialized team working at the intersection of engineering and venture capital. You will work side-by-side with VC investors AI researchers and developers to build the backbone of our investment intelligence.
This is a high-impact hands-on role. You will be treated as a full member of the team expected to contribute code and structures that solves real business problems and leverages state-of-the-art AI methods. The goal is to automate tedious workflows and turn experimental concepts like LLM agents and complex data reasoning into production-grade tools.
Expand Our Data Scope: You will build the pipelines that feed our investment engine integrating diverse sourcesfrom niche APIs to web datato ensure we capture the latest data and insights.
Turn Noise into Signal: You will transform raw unstructured inputs into high-quality assets ensuring our systems are fed with the clean ready-to-use information.
Engineer AI-Driven Pipelines: You will support applying LLM logic directly into our data workflows treating it as a transformation step to automatically extract structure tags and meaning from raw text at scale.
Operationalize Prototypes: You will help build the serving infrastructure and orchestration layers required to turn experimental models into reliable high-performance tools that handle real-world data loads.
This is a high-impact hands-on role. You will be treated as a full member of the team expected to contribute code and structures that solves real business problems and leverages state-of-the-art AI methods. The goal is to automate tedious workflows and turn experimental concepts like LLM agents and complex data reasoning into production-grade tools.
Expand Our Data Scope: You will build the pipelines that feed our investment engine integrating diverse sourcesfrom niche APIs to web datato ensure we capture the latest data and insights.
Turn Noise into Signal: You will transform raw unstructured inputs into high-quality assets ensuring our systems are fed with the clean ready-to-use information.
Engineer AI-Driven Pipelines: You will support applying LLM logic directly into our data workflows treating it as a transformation step to automatically extract structure tags and meaning from raw text at scale.
Operationalize Prototypes: You will help build the serving infrastructure and orchestration layers required to turn experimental models into reliable high-performance tools that handle real-world data loads.
Your profile
- You are currently enrolled in a Masters program in Computer Science Data Engineering Software Engineering or a related field.
- You are comfortable writing clean modular Python code (beyond simple notebooks). You know your way around standard libraries like pandas and requests.
- You understand how to interact with REST APIs handle authentication and work with flexible data structures (especially JSON and NoSQL/SQL databases).
- You are familiar with Git version control and the command line. You care about writing code that is readable reusable and reliable.
- You are curious about the engineering side of AI like how to integrate LLM APIs Vector Databases or RAG workflows into actual products.
- You are interested in startups entrepreneurship and/or venture capital.
What we offer
- Ownership A unique opportunity to help define build and mold our firms data and AI function.
- Mentorship You will be paired directly with the Data & AI Team Lead for 1-on-1 sessions helping you transition from a student to a professional.
- Network Work from the Munich Urban Colab. You will have access to the wider UnternehmerTUM ecosystem connecting you with leading startups industry experts and investors.
- Competitive Salary: We offer a competitive package with the flexibility to align your working hours with university exams and deadlines.
- VC Insights: You will participate in the educational track of our VC Trainee Program giving you an exclusive deep dive into how investors analyze startups and markets.
- Office Perks Join our free sports classes monthly team lunches access to Makerspace for your personal projects and regular events in a dynamic environment.
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.
Contact
5Please submit your application including your CV a current university transcript and/or a link to your GitHub profile or a portfolio of your projects. We look forward to hearing from you!
Contact Person:
Catalina Anzotegui Oliveri
Talent Acquisition Working Student
UnternehmerTUM Venture Capital Partners
c/o Munich Urban Colab
Freddie-Mercury-Straße 5
80797 München
Please note that the recruiting will be processed by UVC Partners and UnternehmerTUM.
Contact Person:
Catalina Anzotegui Oliveri
Talent Acquisition Working Student
UnternehmerTUM Venture Capital Partners
c/o Munich Urban Colab
Freddie-Mercury-Straße 5
80797 München
Please note that the recruiting will be processed by UVC Partners and UnternehmerTUM.
Required Experience:
IC
Key Skills
- Anti Money Laundering
- Access Control System
- Catering
- Assessment
- Communication
About Company
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