Gen AI Workflow Designer

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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