Yodlee Engineering Summer Intern at Yodlee in Raleigh, NC

Summary: Yodlee is a company that powers financial institutions through data connectivity and intelligence. They are seeking a highly motivated summer intern for their Analytics Engineering team, focusing on AI Agent Development, where interns will contribute to real-world projects and learn about modern data platforms. 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