Founding Engineer - AI Data Platform for AgTech

Wwshemi; San Francisco (CA); On-site; USD 225,000 - 275,000; Full time

Job summary

Wwshemi in San Francisco, CA, seeks an engineer to join an early-stage agritech team building an intelligence platform. You will develop data pipelines integrating sensor, satellite, and weather data, and train ML models with the supporting infrastructure.

As one of the first engineers, you will help shape product direction, engineering culture, and future hiring while delivering production-ready code and meaningful impact in real-world farming.

Qualifications

• 0–4 years of professional experience
• Strong coding ability in Python and/or TypeScript
• Experience in data engineering, machine learning, or AI agent development
• Evidence of shipping code into production for users
• Interest or curiosity about AI and real-world industries

Responsibilities

• Build data pipelines combining farm data from sensors, satellites, drone imagery and weather sources
• Train, evaluate, and deploy ML models and the supporting infra
• Put product features in front of growers and iterate based on feedback
• Help choose the technology stack and contribute to future hiring

Skills

Python

TypeScript

Data engineering

Machine learning

Tools

PyTorch

Job description

Wwshemi in San Francisco, CA, seeks an engineer to join an early-stage agritech team building an intelligence platform. You will develop data pipelines integrating sensor, satellite, and weather data, and train ML models with the supporting infrastructure.

As one of the first engineers, you will help shape product direction, engineering culture, and future hiring while delivering production-ready code and meaningful impact in real-world farming.