AI/ML Engineering Internship, Scalable Capital

• 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

Desirable

• 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