AI R&D and Infrastructure Engineer

A new AI-powered film and content production studio based in Dubai, specializing in AI-driven video and cinematic content. Our client values ownership, accountability, and a proactive approach to work. The company fosters a culture of trust, providing team members with a high level of autonomy and freedom in decision-making rather than relying on micromanagement. At the same time, this autonomy comes with a strong sense of responsibility, the ability to make sound decisions, and readiness to take ownership of outcomes. Hands-on experience with AI tools and technologies is a mandatory requirement for this position. Responsibilities: Optimize AI pipelines on in-house hardware, working with GPUs, VRAM, CUDA, quantized models, and generation parameters. Deploy, configure, and optimize locally hosted AI models for image and video generation, primarily using ComfyUI. Research and test new AI models and technologies, conduct comparative benchmarks, evaluate speed and quality, and provide implementation recommendations. Improve software architecture and production workflows, including Docker, Kubernetes, modularity, backups, versioning, and release management. Maintain and develop technical infrastructure, including networks, remote access, and security. Document technical changes, testing results, and optimization outcomes.Strong technical background and broad expertise across AI, hardware, software, and infrastructure. Requirements Hands-on experience with local deployment of image and video generation models. Knowledge of ComfyUI, CUDA, Linux, model quantization, and optimization techniques. Understanding of GPU architectures and how hardware specifications affect AI performance. Knowledge of Blender, ControlNet. Experience with Docker/Kubernetes and building reliable software pipelines. Ability to work independently, take initiative, learn new technologies quickly, and identify optimization opportunities. Strong organizational skills, accountability, and attention to documentation.