AI Solutions Developer for Agriculture: Rapid Prototyping

Vylor Inc.

Johnston (IA)

On-site

USD 110,000 - 170,000

Full time

44 hours ago
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Benefits offered by this job

Health benefits
Paid time off
Parental leave
Retirement savings plan
Tuition reimbursement

Job summary

Vylor, Inc. seeks an AI Solutions Developer & Data Steward to accelerate agricultural research through AI-enabled workflows and robust data practices.

You will partner with scientists to deliver nimble prototypes, integrate AI tooling, and ensure data quality and provenance across research projects. You will help maintain data pipelines, curate datasets, and champion FAIR data principles while staying current with the rapid evolution of generative AI and agent technologies in a cutting-edge

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Biological Science, or related field.
  • Postgraduate degree preferred.
  • Hands-on experience with modern AI/ML, including LLMs and agent frameworks/orchestration tools.
  • Strong programming skills, particularly Python.

Responsibilities

  • Design AI agents, LLM-powered workflows, and retrieval-augmented (RAG) solutions for research needs.
  • Partner with Enterprise Digital group to ensure security, privacy, and compliance alignment.
  • Prototype point solutions and proofs of concept in close collaboration with scientists.
  • Integrate LLMs, APIs, and modern AI tooling into research-facing applications.
  • Curate, organize, and maintain research datasets for analysis-ready inputs.
  • Champion FAIR data principles and data governance across research groups.

Skills

Python programming
Data analysis
Problem solving
Collaboration

Education

Bachelor's degree in CS/DS/Math/Biology
Postgraduate degree preferred

Tools

LangChain
LlamaIndex

Job description

Vylor, Inc. seeks an AI Solutions Developer & Data Steward to accelerate agricultural research through AI-enabled workflows and robust data practices.

You will partner with scientists to deliver nimble prototypes, integrate AI tooling, and ensure data quality and provenance across research projects. You will help maintain data pipelines, curate datasets, and champion FAIR data principles while staying current with the rapid evolution of generative AI and agent technologies in a cutting-edge

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