AI Resume Builder
JOIN NOW Post Job
Aurora Cooperative Elevator Company
AI

Intern for AI Engineering and Data Science

Aurora Cooperative Elevator Company · Aurora, NE, US

Actively hiring Posted 6 months ago

Role overview

  • Build & Deploy AI Applications Help develop AI applications (chatbots, RAG knowledge assistants, text to SQL) and contribute to deployment and upgrade processes.
  • Automate Testing & Evaluation Contribute to automated testing frameworks that evaluate model performance, retrieval accuracy (RAG), and agent decision making before production.
  • Develop Retrieval Pipelines Help engineer retrieval systems including chunking strategies, metadata management, embedding generation, and vector database indexing.
  • Monitor & Optimize Assist with monitoring for system performance, latency, errors, and costs. Help build dashboards to track user interactions and model behavior.
  • Curate Knowledge Bases Help build and maintain domain specific knowledge bases (agronomy, grain, logistics) using automated pipelines.
  • Data Engineering Work with internal systems and SQL databases (Snowflake) to feed data into AI models and process outputs.
  • Collaborate & Communicate Work with data engineers and domain experts to identify high impact use cases and present technical findings to stakeholders.

Basic qualifications

  • 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 qualifications

  • 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.
  • Real World Impact Contribute code that real employees use to solve real agricultural problems.
  • End to End Exposure See projects through from the “business case” phase to deployment and monitoring, with guidance from senior team members.
  • Mentorship Work directly with experienced data scientists and engineers who will help you grow your technical and professional skills.
  • Domain Knowledge Learn how AI is applied in the complex world of modern agriculture and supply chain logistics.
  • This internship is based in our Omaha office with some hybrid remote work possible.

About the company

Aurora Cooperative is a farmer owned agricultural cooperative headquartered in Aurora, Nebraska. We provide inputs and services that power farming operations seed, fertilizer, crop protection, animal nutrition, energy products and we operate grain elevators across our network. Our mission is to create value for our owners by offering top quality products, services, and expertise.

Tags & focus areas

Used for matching and alerts on DevFound
Internship Remote Ai Ai Engineer Data Science
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support