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Aurora Cooperative · 7 hours ago

Intern for AI Engineering and Data Science

Aurora Corporate - Aurora, NE 68818

Internship

Hybrid

Intern

Aurora Cooperative is a farmer owned agricultural cooperative headquartered in Aurora, Nebraska. They are seeking an AI Engineering and Data Science Intern to join the Data Science team, where the intern will help design, build, and ship AI powered solutions to improve business operations and member services.

AgricultureEnergy

Responsibilities

Help develop AI applications (chatbots, RAG knowledge assistants, text to SQL) and contribute to deployment and upgrade processes

Contribute to automated testing frameworks that evaluate model performance, retrieval accuracy (RAG), and agent decision making before production

Help engineer retrieval systems including chunking strategies, metadata management, embedding generation, and vector database indexing

Assist with monitoring for system performance, latency, errors, and costs. Help build dashboards to track user interactions and model behavior

Help build and maintain domain specific knowledge bases (agronomy, grain, logistics) using automated pipelines

Work with internal systems and SQL databases (Snowflake) to feed data into AI models and process outputs

Work with data engineers and domain experts to identify high impact use cases and present technical findings to stakeholders

Qualification

PythonSQLAI applicationsREST APIsGit version controlDevOpsCloud platformsFrontend skillsLLM evaluationVector searchProblem solving

Required

Pursuing a degree in Computer Science, Data Science, Engineering, Statistics, or a related field (or equivalent practical experience)

Hands on Build Experience You have built at least one AI enabled application (e.g., chatbot, RAG system, agent) and can explain how it works

AI Native Workflow You are comfortable using AI coding assistants (Cursor, GitHub Copilot, Claude Code, etc.) to accelerate your development

Core Tech Stack Proficiency in Python and SQL. Comfort with REST APIs and Git version control

Problem Solving Ability to break down complex problems, debug systems, and learn new technologies quickly

Preferred

Experience with LLM Evaluation Familiarity with frameworks or methods for evaluating the quality of LLM outputs (e.g., RAGAS, TruLens, or custom metrics)

DevOps, CI, CD Exposure Understanding of continuous integration/deployment concepts, containerization (Docker), or automated testing

Cloud & Data Experience with Snowflake, Azure, or similar cloud data platforms

Vector Search Understanding of vector databases, embeddings, and semantic search concepts

Frontend Skills Ability to build quick prototypes using Streamlit or similar tools