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

TLDR

Gain hands-on experience enhancing ML/LLMOps infrastructure, evaluating frameworks, and documenting your findings while working in a diverse team at a leading fintech startup.

  • 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
  • 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

Benefits

PRIME+ Broker subscription

Free subscription to the PRIME+ Broker

Scalable GmbH builds a digital investment and banking platform that makes it easy for individuals across Europe to manage their finances with a focus on professional investments in stocks, ETFs, cryptocurrencies, and more. With services like Scalable Broker and Scalable Wealth, the platform offers both retail clients and B2B partners flexible investment options and digital wealth management solutions. This unique combination of full banking capabilities and a commitment to sustainable investments sets Scalable apart in the FinTech landscape.

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