Technical Workflow Designer

Key Responsibilities

• Collaborate with the Workflow Supervisor and team leads to define artist needs and workflow priorities
• Design, build, and test new workflows based on creative and technical requirements, following established best practices and standards
• Ensure workflows are functional, scalable, and flexible enough to be reused and adapted across multiple projects
• Maintain, troubleshoot, and improve existing workflows in response to project demands and user feedback
• Create clear documentation and training material to support artist onboarding and cross-team understanding
• Champion usability and continuous improvement, ensuring workflows remain intuitive, artist-friendly, and production-ready
• Support the rollout and integration of new workflows, collaborating with production teams to ensure seamless adoption
• Apply technical artistry and a refined artistic eye to ensure all system outputs are photorealistic and meet film production quality standards
• Train and fine-tune specialized visual creation models using advanced ML techniques (e.g., checkpoints, LoRAs, embeddings, and control-like mechanisms)
• Convert cutting-edge research including new models, samplers, and academic papers into practical, production-stable tools through rapid prototyping and iteration
• Engineer complex, scalable workflows that integrate open-source models and proprietary tools into cohesive, production-ready pipelines
• Translate artistic intent into executable technical solutions, developing logic and parameters that enable artists to generate photorealistic visuals from prompts, sketches, or scene inputs
• Design intuitive interfaces and toolsets that empower non-technical artists to effectively leverage advanced ML systems
• Continuously monitor and evaluate emerging technologies, research repositories, and workflow ecosystems to identify, test, and integrate next-generation visual creation tools such as DeepBeepMeep, Fal, and GripTape

Qualifications

• 3+ years of experience working in workflow development, technical direction, or creative technology in a production environment
• Strong hands-on experience with ComfyUI, including designing advanced workflows and using or adapting community extensions. Knowledge of writing or modifying custom ComfyUI nodes 
• Familiarity with key image creation systems and techniques (e.g., Stable Diffusion, ControlNet, IPAdapter, Fine-Tuning including LoRAs, Flux, Hooks, etc.).
• Strong understanding of prompt engineering in the context of diffusion models and how prompt-based generation systems translate into visual outputs
• Foundational knowledge of machine learning workflows and data structures used in visual content pipelines
• Experience with other diffusion platforms and services like DeepBeepMeep, GripTape, Fal, etc. in a workflow or tooling context
• Familiarity with UI/UX principles as they relate to building intuitive, efficient tools for artists
• Ability to translate artist needs into technical solutions through strong collaboration and communication
• Comfortable working with internal documentation and task management tools such as Confluence and ClickUp
• Self-motivated, organized, and eager to explore new technologies, models, and production methods
• Expert proficiency in Python for node logic, scripting, ML workflow orchestration, and writing reusable, efficient code for high-level APIs (e.g., Hugging Face diffusion pipeline)
• Capable of sharing knowledge and instructing team members in new methodologies
• Ability to assist on projects with shot work to establish key looks or workflows to the highest level of photorealistic fidelity