AI/ML Engineering Internship

• 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

Benefits

• Remote working opportunities - collaborate with your team no matter where you are in Germany: the majority of our jobs can be done working from home. So if you aren’t near one of our physical locations in Germany, check out if your job is eligible remotely
• Join an international and diverse, inclusive community - be part of a network of highly talented, diverse and motivated people, from more than 30 nationalities. We enjoy regular office parties & after work drinks, BBQs in the summer, weekly runs and much more
• Lounge around - take a break to relax on our terrace in Munich or in the Beergarden downstairs in Berlin. Enjoy fresh fruits, soft drinks, and tea daily, and if want, develop your Barista skills with our Espresso machine
• Gear and perks - work with the latest hardware (including a MacBook Pro or equivalent and your choice of headphones). We also support your workplace with the equipment that you need, either in the offices or at home
• Learn and grow - develop yourself further with a personal education budget and in-house knowledge sharing sessions with catered lunch. If you want to learn or improve your German language skills, you will like the free classes right in the office or our support for online classes
• Have an impact - ship features to thousands of users and work with leading financial institutions across Europe on a regular basis. Transform with us the traditional finance industry with the aim of democratizing investment management and brokerage

• Fluency in English (written & spoken)
• Excellent academic background in a quantitative discipline (computer science, machine learning, data science, financial mathematics,, engineering, physics, or a similar field)
• Experience with ML packages in Python (e.g., pandas, numpy, scikit-learn, statsmodels)
• Currently pursuing a Bachelor’s or Master’s degree
• Please also provide us with your latest transcript of records and if applicable your work references
• Hands on experience in Python Fundamental knowledge in state-of-the-art LLM frameworks, RAG and vector databases (e.g. LangChain, LangGraph,, OpenSearch)
• First experiences with Cloud Infrastructure (AWS)
• Result-oriented and pragmatic way of working
• Curiosity and enthusiasm to learn new technologies and build reliable AI systems
• 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 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