Artificial Intelligence (AI) Developer Intern

Seaboard Corporation•Merriam, KS

18h•Onsite

About The Position

We have an exciting opportunity for an AI Developer Intern at our Merriam, KS office. In this hands-on, project-based role, you will be embedded with one of our business functions to co-develop an AI-assisted application that empowers the team's day-to-day work, including departments like Human Resources, Sales, Marketing, Innovation, Supply Chain, Operations and Finance. You will use modern AI-assisted development tooling (VS Code with frontier models such as Claude Opus and GPT) to design, build, deploy, and support a focused application end-to-end over a 8-10-week engagement.

Requirements

Must be enrolled in an accredited university, as a Junior or Senior standing in Computer Science, Data Science, or a closely related field (dual majors welcome).
Completion coursework in AI, Computer Science, Deep Learning, and/or Large Language Models.
Working proficiency in Python and at least one other core programming language.
Familiarity with version control (Git) and modern IDE workflows, including VS Code.
Exposure to applied AI / LLM projects (coursework or personal projects acceptable).
Strong written and verbal communication skills; able to explain technical concepts to non-technical stakeholders.

Nice To Haves

Prior internship or applied project experience in industry or retail problem-solving contexts.
Experience with one or more of: data analytics, algorithm development, spatial/geospatial work, contained or private LLM builds, RAG pipelines, lightweight web frameworks (FastAPI, Flask, Streamlit), or cloud services (Azure, AWS, GCP).
Comfort working with AI-assisted coding tools (GitHub Copilot, Claude/Opus, GPT) as a development partner.

Responsibilities

Partner with the sponsoring Seaboard department to understand a business problem, define scope, and translate requirements into a working application.
Design, build, test, deploy, and support a project-scoped application using AI-assisted development workflows in VS Code with frontier LLMs (e.g., Claude Opus, GPT).
Apply prompt engineering, retrieval, and (where appropriate) contained / private LLM patterns to deliver solutions that are accurate, secure, and maintainable.
Develop in Python and other relevant CS languages; integrate with internal data sources, APIs, and lightweight front-end interfaces as needed.
Document the solution (architecture, setup, usage, and handoff notes) so that the sponsoring department and IT can support it after the engagement.
Demonstrate progress through regular check-ins, demos, and a final presentation to the project mentor and stakeholders.
Provide and receive feedback in line with APEX Program requirements.
Operate within Seaboard's data, security, and acceptable-use guidelines for AI tools.