Yodlee Engineering Summer Intern at Yodlee in Raleigh, NC

Summary: Yodlee is a company that powers financial institutions and fintech platforms through data connectivity and intelligence. They are seeking highly motivated summer interns to join their Analytics Engineering team, focusing on AI Agent Development and contributing to real-world projects in AI and data analytics. Responsibilities: - Design and prototype AI agents that can assist with analytics engineering workflows - Build proof-of-concepts using LLMs, RAG pipelines, prompt engineering, and agentic workflows - Develop tools that can help generate, validate, optimize, or explain SQL, Python, and data pipeline logic - Explore AI-based automation for data quality checks, metadata analysis, documentation, and operational support - Work with structured and unstructured data to generate insights, summaries, and recommendations - Assist in building APIs, scripts, dashboards, or internal tools to support AI-driven analytics use cases - Collaborate with cross-functional teams to understand business problems and translate them into technical solutions - Document designs, experiments, findings, and recommendations clearly for technical and business audiences - Participate in team discussions, code reviews, demos, and internship showcase presentations Required Qualifications: - Currently pursuing a degree in Computer Science, Data Science, Software Engineering, Information Systems, AI/ML, or a related technical field - Strong foundation in Python and basic software development practices - Understanding of SQL and relational data concepts - Interest in Generative AI, LLMs, AI agents, prompt engineering, or RAG architectures - Familiarity with data engineering or analytics concepts such as ETL, data pipelines, APIs, and reporting - Strong analytical thinking and problem-solving skills - Ability to communicate technical ideas clearly - Willingness to learn quickly and work in a collaborative team environment Preferred Qualifications: - Exposure to cloud platforms such as AWS, Azure, or GCP - Experience with tools or frameworks such as LangChain, LlamaIndex, OpenAI APIs, Hugging Face, FastAPI, Streamlit, Flask, Git, or Jupyter notebooks Required Skills: Python, SQL, Generative AI, Large Language Models, AI agents, Prompt engineering, Retrieval-Augmented Generation, Data engineering, ETL, Data pipelines, APIs, AWS, Azure, Google Cloud Platform, LangChain, LlamaIndex, OpenAI APIs, Hugging Face, FastAPI, Streamlit, Flask, Git, Jupyter notebooks