ComfyUI Engineer.

Responsibilities

• Build, optimise, and debug ComfyUI workflows for human-centric and product image generation
• Profile node chains. Cut VRAM, latency, and cost without sacrificing quality
• Wire workflows into Runflow's Solutions API, Python, TypeScript, REST
• Run batch inference and post-processing at production scale (millions/mo)
• Iterate on output quality. Hand off failure modes to Sentinel; learn from its scores
• Build dynamic conditioning systems, variable poses, styles, backgrounds, products
• Maintain a versioned, documented workflow repo other engineers can read
• Train and fine-tune checkpoints + LoRAs (Flux, SDXL, Wan-style pipelines)

Requirements

• You've shipped ComfyUI in production for 6+ months, setup, custom nodes, debugging gnarly graphs
• You have deep working knowledge of diffusion models (SDXL, Flux, the open-source release of the month)
• You've built workflows tuned for realism and identity preservation, face similarity is second nature
• You're comfortable with ControlNets, IP-Adapters, segmentation, and the full conditioning toolbox
• You optimise compute. You know when to swap a sampler vs. retrain a LoRA
• You're fluent in GitHub, Python, and REST, the workflow is just one part of a system
• Your strong opinions on face similarity vs. likeness preservation