Forward Deployed Engineer, Dublin

present of AI

Dublin

Hybrid

EUR 90,000 - 130,000

Full time

4 days ago
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Job summary

Protex AI in Ireland is seeking a hands-on engineer to work close to industrial customers, coding in Python, Go or TypeScript, and integrating APIs and webhooks to connect our video safety platform with EHS tools and enterprise software.

You will work with live camera networks and edge video pipelines, shipping reliable features quickly while handling messy edge cases. Communicating clearly with engineers and executives is essential.

Qualifications

  • API and webhook integrations
  • Video streaming or edge pipelines
  • Python, Go or TypeScript projects
  • Customer-facing technical communication
  • Shipping fast on ambiguous problems

Responsibilities

  • Connect the Protex AI video safety platform to systems like EHS tools and enterprise software.
  • Work with live camera networks, object detection outputs and edge pipelines across facilities.

Skills

API & webhook integrations
Video streaming / edge pipelines
Python / Go / TypeScript
Customer-facing technical comunicación
Shipping fast on ambiguous problems

Job description

The role is a hands-on engineering job that sits close to large industrial customers. It asks for solid coding in at least one mainstream language, comfort with APIs and webhooks, and the ability to connect a video safety platform to systems like EHS tools and enterprise software. A strong candidate ships quickly, handles messy edge cases, and can talk with both network engineers and senior executives without losing either audience.

How it fits the AI era

Computer vision models now do the first pass of spotting hazards, so much of the engineering work shifts to wiring those detections into real workflows and making them dependable at scale. AI coding tools can speed up integration code and internal tooling. What stays human is judging how a site really operates, earning trust with plant and safety leaders, and deciding which customer needs deserve to become product features.

How it builds AI experience

Someone in this role would work with live camera networks, object detection outputs and edge video pipelines across factories and warehouses, which is practical experience few engineers get. To build toward it, try a small project that streams video, runs an open detection model and sends alerts through a webhook. Learning where these models struggle, such as lighting, camera angles and busy scenes, is especially useful for a safety-focused company.

Worth showing

  • API and webhook integrations
  • Video streaming or edge pipelines
  • Python, Go or TypeScript projects
  • Customer-facing technical communication
  • Shipping fast on ambiguous problems

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Protex AI

Protex AI develops privacy-preserving computer vision software that integrates with industrial camera networks to detect workplace hazards and promote safety compliance.

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