AI R&D and Infrastructure Engineer
At a Glance
- Category
- 💻 Technology
- Level
- Mid-Level
- Type
- Full-time
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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.
- 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.
Requirements
- •Strong technical background across AI, hardware, software, and infrastructure
- •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 hardware performance impact
- •Knowledge of Blender and ControlNet
- •Experience with Docker/Kubernetes and building reliable software pipelines
- •Ability to work independently and take initiative
- •Strong organizational skills and attention to documentation
Responsibilities
- •Optimize AI pipelines on in-house hardware (GPUs, VRAM, CUDA, quantized models)
- •Deploy, configure, and optimize locally hosted AI models for image and video generation (ComfyUI)
- •Research and test new AI models, conduct benchmarks, and provide implementation recommendations
- •Improve software architecture and production workflows (Docker, Kubernetes, versioning, release management)
- •Maintain and develop technical infrastructure including networks, remote access, and security
- •Document technical changes, testing results, and optimization outcomes
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Guides for this role
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- Get every weak line rewritten
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