Key Responsibilities
- Lead the development of AI-driven immersive systems, focusing on real-time facial tracking and 3D avatar animation with sub-100ms latency
- Architect and optimize full-stack applications using React/Vue.js for frontend, Django/Node.js for backend, and TensorFlow for computer vision models
- Design and deploy scalable WebRTC pipelines on AWS with Red5 Pro, ensuring ultra-low latency streaming and autoscaling
- Collaborate with cross-functional teams to prototype and refine 3D environments, animation systems, and hybrid user representations
- Integrate Blender-generated glTF avatars with morph targets and PBR materials into interactive web applications
- Optimize ICE/TURN/STUN flows and adaptive bitrate logic for distributed media systems
Requirements
- 7+ years of full-stack development experience with modern JavaScript frameworks (React/Vue.js) and backend technologies (Django/Node.js)
- Proven expertise in computer vision and machine learning, particularly with TensorFlow/PyTorch and facial landmark detection pipelines
- Hands-on experience with WebRTC, NGINX, and AWS cloud services (EC2, EKS, RDS)
- Strong background in 3D graphics using Three.js/Babylon.js and Blender integration
- Experience with Docker, Kubernetes, and CI/CD pipelines for scalable deployments