indeed
Principal / Lead AI Engineer — App Development & Networking
SMS Realty
Dubai, UAE
Full-time
Onsite
Discovered 1 weeks ago
AI/ML and software engineeringMobile and web application developmentTCP/IP, HTTP/2, WebSockets, gRPC, MQTT, and WebRTCProduction ML model integrationTensorFlow, PyTorch, ONNX, or Core MLIoT integration and protocols
Free
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AI/ML and software engineeringMobile and web application developmentTCP/IP, HTTP/2, WebSockets, gRPC, MQTT, and WebRTC
Role Overview
Lead the architecture and delivery of AI-powered applications built on a strong networking backbone.
The role combines applied AI, mobile and web application development, real-time APIs, IoT connectivity, and cloud infrastructure.
Set technical direction, lead engineers, and ensure AI systems are fast, reliable, and scalable.
Key Skills for This Role
AI/ML and software engineeringMobile and web application developmentTCP/IP, HTTP/2, WebSockets, gRPC, MQTT, and WebRTCProduction ML model integrationTensorFlow, PyTorch, ONNX, or Core MLIoT integration and protocols
Full Job Posting
Role Overview
Lead the architecture and delivery of AI-powered applications built on a strong networking backbone.
The role combines applied AI, mobile and web application development, real-time APIs, IoT connectivity, and cloud infrastructure.
Set technical direction, lead engineers, and ensure AI systems are fast, reliable, and scalable.
Responsibilities
- Architect and lead AI-powered mobile and web applications from model integration through production deployment.
- Design real-time communication systems using WebSockets, WebRTC, gRPC, and MQTT.
- Lead integration of IoT devices and edge hardware into the application ecosystem.
- Design and scale cloud and backend infrastructure using AWS, Azure, GCP, and Kubernetes.
- Set technical strategy and roadmap across AI, application development, and networking.
- Mentor engineers and set standards for code quality and architecture.
- Partner with product, data science, and design teams on cross-functional initiatives.
- Own performance, security, and reliability of networked AI systems.
Required Qualifications
- At least 8 years of software engineering experience focused on AI/ML and application development.
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