AI Business Analyst Intern: Build AI in Agriculture

Vylor

Johnston (IA)

Hybrid

USD 25,000 - 39,000

Part time

14 days+

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Benefits offered by this job

Hybrid work arrangement
Hands-on AI projects
Mentorship opportunity

Job summary

Vylor, based in Johnston, Iowa, is seeking an AI Business Analyst Intern to join our Innovation & Operations Management team. Hybrid role blending business analysis with hands-on AI development, focusing on building AI-powered solutions and automating workflows.

You will analyze processes, gather requirements, and support data-driven decision making while collaborating across teams. This role requires foundational Python, AI tools, and strong communication.

Qualifications

  • Pursuing a degree in Computer Science, Data Science, Information Systems, Business Analytics, or related field.
  • GPA 3.0+ on a 4.0 scale or equivalent.
  • US work authorization for permanent employment required.
  • Familiarity with Python and AI workflows preferred.
  • Strong problem solving and communication skills.

Responsibilities

  • Document workflows and gather stakeholder requirements.
  • Build AI agents and automated workflows; design prompts and chain LLM calls.
  • Develop proof-of-concept solutions and demo to stakeholders.
  • Prepare and structure data for AI inputs; connect solutions to internal data.
  • Train end users and capture lessons learned for the team.

Skills

Python
LLM APIs
Prompt engineering
Agentic AI
LangChain
LlamaIndex
SQL
Pandas
Communication

Education

Bachelor’s or Master’s in Computer Science / Data Science / Information Systems / Business Analytics

Tools

OpenAI API
Anthropic API

Job description

Vylor, based in Johnston, Iowa, is seeking an AI Business Analyst Intern to join our Innovation & Operations Management team. Hybrid role blending business analysis with hands-on AI development, focusing on building AI-powered solutions and automating workflows.

You will analyze processes, gather requirements, and support data-driven decision making while collaborating across teams. This role requires foundational Python, AI tools, and strong communication.

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