Generative AI Pipeline Engineer (Tech Lead)

📋 Description

• Architect scalable generative AI pipelines for production-grade workflows.
• Lead GPU environments, workflow orchestration, and user interfaces.
• Build modular, version-controlled pipelines for images/videos.
• Create one-click workflows and reusable presets for non-technical users.
• Develop end-to-end LoRA training pipelines from data to deployment.
• Integrate control mechanisms like ControlNet, IP-Adapter, inpainting.

🎯 Requirements

• Proven experience building and deploying generative AI pipelines in production.
• Hands-on with ComfyUI, Diffusers, or equivalents.
• Advanced Python: automation, API integrations, custom nodes/tools.
• Experience training LoRA models end-to-end.
• Strong knowledge of AI control techniques: ControlNet, IP-Adapter, inpainting.
• Experience deploying AI pipelines as internal production tools.

🎁 Benefits

• Fully remote work environment with flexibility to work from anywhere.
• Generous paid vacation policy.
• Unlimited paid sick leave.
• Comprehensive medical insurance coverage.
• Home office equipment and furniture allowance.
• Ongoing learning support through books, workshops, conferences, and professional development programs.