AI Tech Artist

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 #J-18808-Ljbffr Workman Labs