
- Top 10% of respondersEyeGo is in the top 10% of companies in terms of response time to applications
- Responds within a few daysBased on past data, EyeGo usually responds to incoming applications within a few days
- Early StageStartup in initial stages
AI Project Engineer
- د.إ50k – د.إ60k
- |
- |3 years of exp
- |Full Time
In office
Available
About the job
AI Projects Engineer — Eyego.ai (Dubai Office)
Eyego.ai is a physical AI platform provider that transforms real-world camera networks and physical environments into real-time operational intelligence. Our physical AI platform deploys spatial perception engines, automated vision analytics, and edge AI systems across smart infrastructure, commercial venues, and enterprise sites to bridge the gap between physical operations and digital intelligence.
We are expanding our UAE footprint and hiring an AI Projects Engineer to lead client-side AI integration, field deployment, and project execution out of our Dubai office.
Key Responsibilities
Technical Project Delivery: Lead end-to-end technical onboarding, integration, and field deployment of Eyego’s physical AI vision platform for UAE and regional enterprise clients.
Bridge Engineering & Clients: Translate complex client requirements into technical specs for our R&D engineering hubs while managing live implementation timelines.
Edge AI & Hardware Integration: Configure and optimize edge deployment hardware (NVIDIA Jetson, DeepStream, TensorRT, RTSP camera streams, and local network setups) on-site.
Pipeline Field Validation: Monitor live production system health, debug deployment edge cases, and perform acceptance testing for real-time video analytics pipelines.
Client Advisory & Support: Act as the primary technical partner for UAE enterprise clients and smart destination stakeholders during project rollout and post-launch optimization.
Requirements & Qualifications
Experience: 3–6+ years in AI technical project delivery, solutions engineering, or deployment engineering with direct exposure to computer vision systems.
Technical Proficiency: Hands-on experience with Python, Linux environments, Docker, OpenCV, and edge infrastructure (NVIDIA DeepStream / Jetson / TensorRT).
Systems Deployment: Proven track record installing, testing, and troubleshooting camera infrastructure, RTSP video feeds, or IoT edge devices in live operational settings.
Client & Regional Mobility: Strong client-facing communication skills in English (Arabic proficiency is a strong plus) and readiness for on-site client visits across Dubai and the wider UAE.
About the company
- Top 10% of respondersEyeGo is in the top 10% of companies in terms of response time to applications
- Responds within a few daysBased on past data, EyeGo usually responds to incoming applications within a few days
- Early StageStartup in initial stages
Founders

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