Field Applications Engineer - AI Vision for Manufacturing

Overview Corporation; Santiago de Querétaro; On-site; MXN 420,000 - 660,000; Full time

Job summary

Overview.ai is seeking an Applications Engineer for Mexico to deploy and optimize AI vision systems on customer production lines. The role is field-based with frequent travel, focusing on installation, integration with PLCs, and on-site troubleshooting in manufacturing environments.

You will work with manufacturing customers across Mexico, coordinating with their engineering and maintenance teams to ensure reliable production performance and successful deployments.

Qualifications

• 3+ years of hands-on experience in industrial automation, controls engineering, mechatronics, electrical engineering, or related fields.
• Practical experience with PLC systems such as Allen Bradley, Siemens, or similar platforms.
• Experience installing, configuring, or integrating equipment in manufacturing environments.

Responsibilities

• Install and configure Overview AI vision hardware on manufacturing lines.
• Integrate vision systems with existing PLC platforms (Allen Bradley, Siemens, etc.).
• Troubleshoot electrical, hardware, networking, and controls integration issues in live environments.
• Train customer operators and maintenance teams on system operation and troubleshooting.
• Own deployments from installation through production ramp-up and validation.

Skills

Industrial automation

Electrical engineering

Mechatronics

PLC experience

Bilingual English/Spanish

Tools

Allen Bradley PLCs

Siemens PLCs

Industrial networking

Job description

Overview.ai is seeking an Applications Engineer for Mexico to deploy and optimize AI vision systems on customer production lines. The role is field-based with frequent travel, focusing on installation, integration with PLCs, and on-site troubleshooting in manufacturing environments.

You will work with manufacturing customers across Mexico, coordinating with their engineering and maintenance teams to ensure reliable production performance and successful deployments.