Generative AI Pipeline Engineer (Tech Lead)

Job Description

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;

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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