AI Engineer

Precision Planting is a subsidiary of AGCO Corporation and a leading provider of planting, spraying, and harvesting technology in the Precision Ag Industry. We design innovative products that revolutionize farming and food production by solving challenging problems fundamental to agriculture.   

We are seeking a highly motivated AI Engineer to join our digital‑agriculture team and build next‑generation farmer‑facing tools that harness artificial intelligence to deliver actionable insights for growers. You will pair solid data‑science fundamentals with cutting‑edge work on large‑language models (LLMs) to give growers a deeper understanding of both equipment performance and agronomic outcomes. Your work will advance predictive maintenance, anomaly detection, and natural‑language insight generation, transforming how customers interact with and benefit from our products. 

What will you be doing? 

• Develop and advance cloud-based machine learning models and algorithms and deploy them into web and mobile digital ag applications. 

• Build and maintain scalable data pipelines on AWS to collect, prepare, and serve datasets for model and algorithm development. 

• Prototype and ship LLM‑powered features (RAG, natural‑language diagnostics, contextual help) that translate complex telemetry into clear, grower‑friendly insight. 

• Own projects end to end: curate data, design features, evaluate models, deploy services, monitor performance, and iterate from customer feedback. 

• Collaborate with data scientists, data engineers, computer‑vision engineers, and cloud and mobile software developers to create, refine, and deploy LLM and computer‑vision AI features. 

Required Skills/Experience  

• Bachelor's degree in Computer Science, Computer Engineering, Statistics, Data Science, Mathematics, or equivalent experience in applied machine learning 

• 2+ years professional experience in data science, ML engineering, or cloud-data and ML infrastructure 

• Strong grasp of statistics, probability, and time‑series analysis. 

• Hands‑on experience building and operating cloud infrastructure preferably in AWS (Terraform, CDK, CloudFormation, Lambda, SageMaker, ECS) 

• Self-driven with the organizational and communication skills required to work autonomously, deliver full solutions, mentor teammates, and foster a supportive team environment. 

• Familiarity with collaborative development workflow and version control systems (ie., Git) 

Desired Skills/Experience 

• MS Degree in Computer Science, Computer Engineering, Statistics, Data Science, Mathematics, or equivalent experience in applied machine learning data science 

• Shipped production ML project, preferably in predictive maintenance, anomaly detection, or performance analytics. 

• Experience fine‑tuning or prompt‑engineering LLMs (OpenAI, Hugging Face, etc.). 

• Familiarity with vector databases (FAISS, Pinecone, pgvector), embeddings, and retrieval‑augmented generation. 

• Edge‑AI or embedded Linux deployment experience. 

• Experience applying machine learning techniques to computer vision applications 

Why Join Us? 

You will be joining a tight-knit team that is passionate about solving real problems growers face. You will develop models and algorithms that run on millions of acres and increase the value growers receive from our products. You will be able to experience the impact of your work firsthand through direct feedback from the customers we serve while enjoying the freedom to innovate without bureaucracy.