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Forward Deployed Engineer

Help deploy and maintain edge AI systems in real factories and warehouses, ensuring reliability and efficiency.

Location
New York, New York
Compensation
Not disclosed
Level
Not specified
Type
full time · On-site

Posted by employer 1 year ago

First seen on Joblaze 1 month ago

Last verified on the company career page 16 hours ago

Apply at intenseye → Save job Scanned from intenseye.com

Skills & Technologies

What you'll build

  • Get edge AI running in real factories and warehouses
  • Build prototypes and test on site
  • Fix issues and document processes
  • Work with backend, frontend, and research teams
  • Scale deployments across regions

AI in the day-to-day

Our platform delivers ethical, highly accurate intelligence across complex worksites using AI.

Not disclosed in this posting: compensation, seniority, years of experience, visa sponsorship.

Joblaze summary

The Forward Deployed Engineer at Intenseye is responsible for implementing and maintaining AI solutions in real-world industrial settings, ensuring that systems operate effectively and efficiently. This role requires a blend of technical skills, including experience with AI models and a hands-on approach to problem-solving, as the engineer will prototype solutions and refine them based on on-site observations. Ideal candidates are those with a strong background in engineering or technology, capable of adapting to dynamic environments and collaborating across teams. Intenseye emphasizes a practical approach to safety and efficiency, aiming to transform how industries manage risk.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 17, 2026. Last confirmed on intenseye's careers page November 10, 2026.
  • AI/ML appears in 45.7% of 1798 comparable ai/ml roles in United States.

Quick facts

Is the Forward Deployed Engineer role remote?
No — this is an on-site role in New York, New York.
Where is the role based?
intenseye is hiring for this position in New York, New York.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Sentinel hardware.
Is this full-time or contract?
Full-time for this Forward Deployed Engineer role at intenseye.

From the original posting

At Intenseye, we believe protecting people at work is non-negotiable. That’s why we’re building the world’s most advanced AI-powered platform for industrial environments, designed to help organizations move from reactive programs to proactive risk prevention across safety, operations, and quality management. Our technology gives enterprises the ability to see risk and inefficiency as they emerge, take action in real time, and prevent incidents before they happen. Powered by cutting-edge AI and Intenseye’s proprietary Sentinel hardware, our platform delivers ethical, highly accurate intelligence across complex worksites. EHS, operations, and quality teams gain continuous leading indicators, deep operational insight, and unprecedented visibility into how work actually happens. Today, Intenseye helps protect hundreds of thousands of workers across 25+ countries—and we’re just getting started. About Intenseye   We build industrial AI where the work happens. Our edge vision systems plug into real workplaces. They help teams spot risk early, act fast, and keep people and goods moving. Safety is part of the job, not an add-on. We think long term about how factories and DCs should run in ten years and ship tools that move that future into the present.   What we actually do:   Build fast, reliable models that understand complex physical environments. Package them into plug-and-play workflows that teams adopt in hours, not months. Close the loop from hazard signal to action to measurement to improvement on live floors.   Forward Deployed Engineer at Intenseye   You help us get edge AI running in real factories and warehouses, then keep it working. You meet the team, watch how the work actually happens, sketch a simple plan, build a prototype, try it on site, and adjust. When something breaks, you fix it. You write things down so the next install is easier.   One week you’re on the floor at 7am. observing how things operate. Next you tighten a flow end to end: detect, track, time, alert, then sit with their team to see if you actually solve the problem. You tune it until it’s boring and reliable. You work with backend, frontend, and research teams, share what you learned, and turn the field fix into something we can reuse. There is no playbook. You will help write it and scale deployments across regions.

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