Own the workflows that power millions of AI images every month. You think in nodes, you debug in graphs, you care obsessively about output quality.
Runflow is the AI image and video infrastructure layer for production. We power the AI headshots, fashion shoots, and product photography that companies like BetterPic and BetterStudio ship every day, millions of images a month, with quality scored before delivery.
We're hiring a ComfyUI Engineer to own the workflows that produce them. This isn't a research role. You'll ship production workflows that directly impact output quality, customer retention, and revenue. You're the person who decides which checkpoints, which LoRAs, which control nets, which sampler, and how it all stays under VRAM and latency budgets at scale.
If you debug node graphs in your sleep, train LoRAs for fun, and have strong opinions on face similarity vs. likeness preservation, this is for you.
Concrete, shippable, on the live roadmap. Not hypothetical. We expect every one of these to land.
Pick the checkpoints, design the conditioning chain, calibrate the IP-Adapter / face-swap stack, and run the eval. Hand it off to Sentinel for live scoring.
Profile VRAM, swap samplers, prune the graph, parallelise where it pays. The win has to hold across realistic batch shapes, not synthetic benchmarks.
Curate the dataset, set up the training loop, ship the LoRA into the workflow, validate against held-out evals. Document the recipe so the next vertical takes a week instead of a month.
You'll own the full lifecycle, from prototype to production at scale.
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)
A specific number of years. A specific degree. A specific stack. We hire on whether you can ship end-to-end and whether you have taste. Everything else is noise.
We move fast because senior candidates with multiple offers reward the team that respects their time. Whole loop fits in two weeks.
We read every word of every application. No silent rejections, ever.
A small, real Runflow problem. We score the prompts and decisions you made as much as the output itself.
Quick conversation about your take-home, the team, and how you work day-to-day.
A bigger problem we pay you to work through. We care about outcomes, not process. AI tools more than welcome.
Casual chat with the two founders.
We value proof over promises. When you apply, include examples. Things that stand out:
Five minutes. We read every word. Yes / no / not-now within 5 business days, always.
We hire builders, not roles. If none fit exactly, the open application is at the bottom.