close enough". This is a control and reproducibility problem, not a prompting problem, and it needs an engineer.

This is a greenfield build. You'll be the first engineer in this direction, working directly with the Design Director as the technical interface between creative teams and software infrastructure.

What you will work on

Architect and run our AI Media Production platform: serving ComfyUI or similar engines, GPU environments, one-click UIs for non-technical teams;
Ship modular, versioned, reproducible generative pipelines, node-based and/or code-first (e.g. diffusers);
Develop one-click presets and use cases for image and video generation;
Train LoRAs end-to-end: from real product photography to evaluated, production-ready models;
Build control-first generation into every pipeline: ControlNet, IP-Adapter, inpainting, reference conditioning;
Engineer QC into the pipeline itself: automated checks against product references, before a human ever reviews;
Build our creative intelligence loop: encode what makes our best-performing assets work into reusable presets and styles;
Own the technical roadmap with the Design Director; qualify new models and tools; drive adoption through enablement, not mandates.

Requirements

Your must haves

You don't need to meet every single requirement. If you're excellent in most of these areas and can show shipped work, we'd love to hear from you.

Shipped generative pipelines adopted and used daily by other people;
Production-grade workflows in ComfyUI or similar technologies, or equivalent code-first experience (e.g. diffusers);
Strong Python: automation, API integrations, custom nodes;
LoRA training end-to-end, from dataset curation to evaluation;
Control techniques across modalities (t2i, i2i, i2v, v2v): ControlNet, IP-Adapter, inpainting, reference conditioning;
Deploying pipelines as internal tools;
Enough visual literacy to set the quality bar (no design portfolio required);
Confident English (B2+).

Nice to have

3D/render-hybrid workflows: Blender or CAD renders as geometric ground truth with generated environments;
LLM orchestration and agentic workflows: automated prompt generation, VLM-based QC;
Experience producing visuals for performance marketing.

What we offer

Remote Work - we offer a truly and fully remote environment. You choose where you are the most productive and comfortable to have an impact.
Paid vacations - generous paid vacation policy to ensure you have time to recharge
Unlimited Sick Days - we understand that being only human means getting sick or feeling under the weather from time to time, so we guarantee you time off as long as you need to recover and get back on your feet.
Ongoing Learning - people at CapsLock are deeply inquisitive and eager to learn new knowledge and skills, that's why we support and create learning opportunities like the Free Books program, workshops, conferences, and more.
Home Office - we will cover the equipment and furniture expenses to make sure you have the best work-from-home experience.
Physical Well–Being - We will cover costs of your medical insurance. Additionally we offer an allowance for a flexible fitness program.
Fun Stuff - there is never a shortage of fun stuff

CapsLock

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Generative AI Pipeline Engineer (Tech Lead)

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