Edge AI Engineer – Real-Time Vision & Video Analytics

U X E SECURITY SOLUTIONS L.L.C; Dubai; On-site; AED 180,000 - 250,000; Full time

Job summary

UXE SECURITY SOLUTIONS L.L.C is seeking a production AI engineer to design, develop, and deploy computer vision and edge AI solutions. The role covers architecture, model development, optimization and integration across AI projects, collaborating with software, DevOps, and business teams from PoC to production.

The candidate will lead technical reviews, mentor engineers, and drive PoCs that advance UXE's AI capabilities, including Arabic/English RAG initiatives and robust monitoring.

Qualifications

• 4 years of professional experience in AI, ML or CV, including 2+ years in live production.
• Proven track record from PoC to deployment and ongoing operation.
• Experience with real-time image and video analytics at scale and tuning for accuracy/latency.
• Exposure to LLM, RAG or agentic AI development and technical leadership.
• Experience delivering technology projects in the UAE is strongly preferred.

Responsibilities

• Design and evaluate detection, tracking, segmentation, classification and video-analytics solutions.
• Build low-latency multi-camera pipelines for NVIDIA Jetson and GPU platforms.
• Optimize models using ONNX, TensorRT, CUDA, DeepStream or GStreamer and measure performance.

Skills

Python

PyTorch

OpenCV

Linux

Docker

APIs

Production debugging

C++

CUDA

Kubernetes

Jetson

ONNX

TensorRT

Education

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, AI, ML, Computer Engineering or related field

Tools

NVIDIA Jetson

TensorRT

ONNX

CUDA

DeepStream

GStreamer

AWS/Azure/Google Cloud

Kubernetes

Job description

UXE SECURITY SOLUTIONS L.L.C is seeking a production AI engineer to design, develop, and deploy computer vision and edge AI solutions. The role covers architecture, model development, optimization and integration across AI projects, collaborating with software, DevOps, and business teams from PoC to production.

The candidate will lead technical reviews, mentor engineers, and drive PoCs that advance UXE's AI capabilities, including Arabic/English RAG initiatives and robust monitoring.