AI Systems Engineer — Computer Vision / Edge AI

At a glance on RemoteAI

• 317 reviewed professionals on RemoteAI match this role at 70% or more.
• Python: 2,161 of 3,363 reviewed AI professionals on RemoteAI list it (64%) — the most common skill this role asks for.
• PyTorch: 683 of 3,363 reviewed AI professionals on RemoteAI list it (20%).
• Computer Vision: 481 of 3,363 reviewed AI professionals on RemoteAI list it (14%).
• Docker: 357 of 3,363 reviewed AI professionals on RemoteAI list it (11%).
• AI Agents: 295 of 3,363 reviewed AI professionals on RemoteAI list it (9%).
• FastAPI: 164 of 3,363 reviewed AI professionals on RemoteAI list it (5%).

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About the role

Responsibilities

• Build and deploy industrial computer vision and ML inference systems on cameras and edge computers.
• Integrate cameras, APIs, networks, and industrial equipment; debug messy real-world production problems.
• Own projects end to end: prototype, test, deploy, monitor, and improve solutions in the field.

Requirements

• Strong Python and Linux engineering skills with practical computer vision or ML inference experience.

Benefits

• Remote in the US, Canada, or Mexico; client travel; ownership and hands-on work with modern AI coding agents.

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