Internship - AI/ML Engineering (m/f/x)

AI overview

Enhance AI agent systems and ML pipelines in a dynamic fintech environment, gaining hands-on experience with industry-leading technologies and contributing to impactful projects.
  • Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment.
  • Evaluate and implement different LLM frameworks, AI agent architectures, and 3rd party APIs.
  • Design and experiment with AI agent evaluation systems to measure reasoning quality, reliability, and consistency.
  • Support the development and automation of AI agent systems and Retrieval-Augmented Generation (RAG) pipelines.
  • Document your findings in our internal knowledge base
  • Contribute to the development, improvement, and automation of our machine learning and data pipelines
  • Gain experience in industry critical infrastructure technologies and apply them productively
  • Excellent academic background in a quantitative discipline (computer science, machine learning, data science, financial mathematics,, engineering, physics, or a similar field)
  • Currently pursuing a Bachelor’s or Master’s degree.
  • First experiences with Cloud Infrastructure (AWS)
  • Hands on experience  in Python Fundamental knowledge in state-of-the-art LLM frameworks, RAG and vector databases (e.g. LangChain, LangGraph,, OpenSearch)
  • First-hand experience with creating LLM-powered applications,  AI agents, tool use, and multi-step reasoning workflows.  (e.g. Chatbots, information retrieval, document summarization)
  • Experience with ML packages in Python (e.g., pandas, numpy, scikit-learn, statsmodels)
  • Curiosity and enthusiasm to learn new technologies and build reliable AI systems.
  • Result-oriented and pragmatic way of working
  • Fluency in English (written & spoken)
  • Please also provide us with your latest transcript of records and if applicable your work references

Nice to have:

  • Experience with AI Agent or RAG Evaluation Systems (e.g. LLM-as-a-judge, automated scoring pipelines, or Langfuse-based evaluation).
  • Good understanding of software engineering principles, including API development, code versioning, and testing frameworks (e.g. Pytest, FastAPI, etc.)
  • Familiarity with end-to-end ML projects
  • Experience with Infrastructure as Code (IaC) like terraform is a plus
  • Experience with CI/CD frameworks (e.g. Jenkins,  Gitlab CI/CD) is a plus
  • Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
  • The ability to work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
  • Enjoy an office in the heart of Munich, located in a lively neighbourhood and close to the English garden
  • All internships are worth the same with us: we also remunerate mandatory internships 
  • Learn and grow by joining our in-house knowledge sharing sessions
  • Work productively with the latest hardware and tools
  • Free subscription to the PRIME+ Broker

Perks & Benefits Extracted with AI

  • Free PRIME+ Broker subscription: Free subscription to the PRIME+ Broker

Scalable Capital is a leading digital investment platform in Europe. Since our foundation in 2014, we pursue the mission to empower everyone to become an investor. With the Scalable Broker, Scalable Wealth, Scalable Crypto and our solutions for B2B partners we offer easy and cost efficient investing for everyone. Today, Scalable Capital is a FinTech unicorn - we have more than 600,000 customers and more than 10 billion Euros on our platform. Visit our finance blog or tune in to our podcast (both in German) to find out what our Expert Teams have to say. Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).

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