What is AgriTech and how common is it in AI job postings?

AgriTech is a skill in the "Applied ML Domains" category. It currently appears in 4 active AI roles across 4 companies in our index.

Which companies are hiring for AgriTech?

The top employers with active AI roles mentioning AgriTech are: Microsoft (1), Google (1), Carbon Robotics (1), Amazon (1).

Is demand for AgriTech growing?

Over the last 4 weeks, 4 new AI postings mentioned AgriTech. The sample size is small, so trend direction is uncertain.

At which stage of AI development is AgriTech used?

Roles requiring AgriTech are concentrated in: application (50%), agents (25%), serving infrastructure (25%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

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AgriTech

4 active AI roles across 4 companies mention AgriTech. Category: Applied ML Domains.

Top employers

Microsoft1Big Tech Google1Big Tech Carbon Robotics1Robotics Amazon1Big Tech

Demand trend

New AI postings mentioning AgriTech per week — 4 total over 4 weeks.

Sector

All Big Tech · 3 Robotics · 1

Function

All Engineering · 3 Research · 1

Status

All Active only

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AI score Recently posted Company A–Z

FilteredsectorRobotics×functionEngineering×statusActive only×Clear all

1 AI role requiring this skill.

Company	Title	Sector	AI score	Stage
Carbon Robotics	Deep Learning Engineer	Robotics	9	L6

Frequently asked questions

What is AgriTech and how common is it in AI job postings?
AgriTech is a skill in the "Applied ML Domains" category. It currently appears in 4 active AI roles across 4 companies in our index.
Which companies are hiring for AgriTech?
The top employers with active AI roles mentioning AgriTech are: Microsoft (1), Google (1), Carbon Robotics (1), Amazon (1).
Is demand for AgriTech growing?
Over the last 4 weeks, 4 new AI postings mentioned AgriTech. The sample size is small, so trend direction is uncertain.
At which stage of AI development is AgriTech used?
Roles requiring AgriTech are concentrated in: application (50%), agents (25%), serving infrastructure (25%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.