AI Tech Artist

Workman Labs; Los Angeles, Northern (CA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Magnopus is seeking an AI Tech Artist to design, build, and optimize node-based generative AI workflows for a major project at their Downtown Los Angeles studio. The role is a fixed-term contract through September 2026 with an anticipated extension to February 2027, onsite five days a week.

Salary ranges from $120,000 to $180,000 per year, reflecting seniority and production-scale requirements. The position emphasizes collaboration with artists and production teams to deliver practical technical

Qualifications

• Advanced experience building, extending and troubleshooting node-based generative AI workflows.
• Strong Python development skills, including custom nodes and integrations for generative AI workflows.
• Deep understanding of current generative image/video models and multimodal workflows.
• Experience with conditioning and adapter technologies such as ControlNet, IP-Adapter and LoRA.
• Experience optimizing AI workflows for memory usage and inference speed.

Responsibilities

• Design, build, document and maintain complex node-based generative AI workflows for production use.
• Develop custom Python scripts and nodes to extend graph functionality and integrate external APIs.
• Evaluate emerging generative AI models and integrate relevant developments into production workflows.
• Build and optimize image, video and multimodal generation workflows for visual quality and fidelity.
• Configure and optimize models for memory efficiency and reliable execution across environments.
• Create and maintain workflows for training and deploying adapters and project-specific model customizations.
• Package complex workflows into reusable graph templates and tools for creative teams.
• Troubleshoot issues across models, nodes, integrations and production workflows.
• Collaborate with artists to understand challenges and develop practical technical solutions.

Skills

Node-based workflows

Python development

Generative AI models

Model adapters / LoRA

Memory optimization

Production workflows

Graph-based frameworks

Tools

ComfyUI

Job description

Magnopus is hiring an AI Tech Artist to build, optimize, and support the node-based generative AI workflows used by artists on a major new project. Fixed-term contract through September 2026 (anticipated extension to February 2027), onsite five days a week at the Downtown Los Angeles studio.

$120,000 – $180,000 / yr

Location

On-site

Seniority

—

Compared with 41 other Engineering roles: Common across similar roles Unique to this role

What you'll do

Responsibilities

• Design, build, document and maintain complex node-based generative AI workflows for production use Common
• Develop custom Python scripts and nodes to extend graph functionality, integrate external APIs and streamline asset-generation workflows
• Evaluate emerging generative AI models, research techniques and integrate relevant developments into production workflows Common
• Build and optimize image, video and multimodal generation workflows, with a focus on visual quality, temporal consistency and motion fidelity
• Configure and optimize models for memory efficiency, inference speed and reliable execution across production environments
• Build and maintain workflows using conditioning, adapter and fine-tuning techniques to support character, composition and stylistic consistency
• Set up and maintain workflows for training and deploying adapters and other project-specific model customizations
• Implement accelerated inference and multimodal editing approaches that enable artists to iterate quickly Unique
• Package complex technical workflows into clear, reusable graph templates and tools for creative teams
• Troubleshoot issues across models, nodes, integrations and production workflows
• Work closely with artists and production teams to understand creative challenges and develop practical technical solutions
• Provide technical support and guidance to artists using the workflows you build, and document solutions to support effective use across the team

What you'll need

Experience

• Advanced experience building, extending and troubleshooting node-based generative AI workflows, such as ComfyUI or equivalent graph-based frameworks
• Strong Python development skills, including experience developing custom nodes, tools and integrations for generative AI workflows Common
• Deep technical understanding of current generative image and video models, multimodal workflows and the techniques used to control and optimize their output Common
• Hands-on experience with conditioning and adapter technologies such as ControlNet, IP-Adapter and LoRA, including training, fine-tuning models, and deploying adapters for production use
• Experience optimizing AI workflows for memory usage, inference speed, model compatibility and reliable execution
• Strong understanding of generative AI video workflows, including the technical challenges involved in temporal consistency, motion control and high-quality output
• Experience turning emerging models, research or experimental technology into practical production workflows
• Strong technical problem-solving skills and the ability to diagnose issues across complex models, nodes and graph setups
• Experience supporting creative production workflows and an understanding of how technical tools need to work for artists in practice
• The ability to explain complex technical concepts clearly and collaborate effectively with both creative and technical colleagues
• A portfolio, code repository or other examples demonstrating relevant custom node development, graph architectures, model customisation or generative AI workflow development