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AI R&D and Infrastructure Engineer

Unlock employer Dubai, United Arab Emirates Direct to Company Under an hour ago · 13 Nov 2026

Financial

  • Estimate: $80k - $120k/yr*
  • Zero income tax location

Accessibility

  • Office Only
  • Visa Provided

Requirements

  • Experience: Intermediate
  • English: Preferred

Position

About the Role
A new AI-powered film and content production studio based in Dubai is seeking a skilled professional to enhance its AI-driven video and cinematic content offerings. The company values ownership, accountability, and a proactive work ethic, fostering a culture of trust that allows team members a high level of autonomy in decision-making. Candidates must have hands-on experience with AI tools and technologies, as this position requires both independence in thought and a strong sense of responsibility for outcomes.

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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.

Requirements

  • 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 and 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.
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