Gen AI Workflow Designer

Workman Labs

Greater London

Hybrid

GBP 75,000 - 120,000

Full time

8 days ago

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Job summary

DNEG is seeking a specialist to design and maintain ComfyUI workflows for deploying audiovisual GenAI models across projects in London, with remote options. You will build templatable workflows and scale them into cross‑platform solutions, partnering with creative teams and DevOps to streamline deployment.

Expertise in ComfyUI, Python and JavaScript is essential, with experience deploying custom environments and evaluating new deployment platforms.

Qualifications

  • Expertise in ComfyUI: custom workflows, nodes, and pipelines, developing in Python and JavaScript
  • Experience maintaining and deploying custom ComfyUI environments
  • Proven experience integrating tools into wider custom pipelines
  • Ability to evaluate alternative model deployment platforms and support in-house options
  • Proficiency with Conda, Git, dependency management, and Python/PyTorch for adapting code
  • Experience testing photoreal generative models, ideally for video
  • Active engagement with GenAI communities, open and closed source
  • Nice to have: prior pipeline/R&D background; VFX or visually-driven tech company background

Responsibilities

  • Design and maintain efficient workflows for deploying audiovisual GenAI models, primarily in ComfyUI
  • Identify, integrate, and update workflows with state-of-the-art tools and technologies
  • Collaborate with GenAI and research teams to develop, evaluate, and refine workflow templates that maximize model performance
  • Experiment with novel model and tool combinations to enhance existing workflows and create new ones
  • Build templatable workflows for creative and product teams and transition them into scalable solutions with DevOps
  • Maintain and develop the custom ComfyUI environment with the GenAI pipeline team; onboard and train artists from other disciplines

Job description

Designs and maintains ComfyUI workflows for deploying audiovisual generative AI models at DNEG — integrating state-of-the-art tools, building templatable workflows for creative teams, and scaling them into cross-platform solutions. Hiring remotely across EMEA.

Location

London, United Kingdom

Remote

Seniority

—

Compared with 49 other Engineering roles: Common across similar roles Unique to this role

What you'll do
Responsibilities
  • Design and maintain efficient workflows for deploying audiovisual GenAI models, primarily in ComfyUI
  • Identify, integrate, and update workflows with state-of-the-art tools and technologies
  • Collaborate with GenAI and research teams to develop, evaluate, and refine workflow templates that maximize model performance
  • Experiment with novel model and tool combinations to enhance existing workflows and create new ones
  • Build templatable workflows for creative and product teams and transition them into scalable solutions with DevOps
  • Maintain and develop the custom ComfyUI environment with the GenAI pipeline team; onboard and train artists from other disciplines
What you'll need
Experience
  • Expertise in ComfyUI: custom workflows, nodes, and pipelines, developing in both Python and JS
  • Experience maintaining and deploying custom ComfyUI environments Unique
  • Proven experience implementing existing tools and techniques into wider custom pipelines
  • Quick to evaluate and present alternative model deployment platforms while assisting on in-house alternatives
  • Confident with Conda, git, dependency management, and enough Python/PyTorch to adapt code
  • Professional experience testing photoreal generative models, ideally for video
  • Deep engagement with GenAI communities across open and closed-source spaces
  • Nice to have: prior pipeline or R&D role; background in VFX, visual arts, or a visually-driven tech company
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