Generative AI Pipeline Engineer (Tech Lead)
New
J
JobgetherAI Media Production
Based in United KingdomFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- Professional English communication skills (B2 level or higher).
- Required Skills
- PythonMachine LearningGenerative AI
Requirements
- Proven experience building and deploying generative AI pipelines used in production environments.
- Strong hands-on experience with ComfyUI, Diffusers, or equivalent workflow frameworks.
- Advanced Python programming skills, including automation, API integrations, and development of custom nodes or tooling.
- Experience training LoRA models from dataset creation through evaluation and deployment.
- Strong knowledge of AI control techniques, including ControlNet, IP-Adapter, image-to-image workflows, video generation, inpainting, and reference conditioning.
- Experience deploying AI pipelines as internal production tools.
- Good visual judgment with the ability to evaluate output quality and consistency.
- Professional English communication skills (B2 level or higher).
- Strong leadership, collaboration, and strategic planning skills with the ability to drive technical direction in a fast-paced environment.
Responsibilities
- Architect and manage a scalable AI media production platform, including GPU environments, workflow orchestration, and user-friendly interfaces.
- Design and deploy modular, version-controlled, and reproducible image and video generation pipelines.
- Build one-click workflows and reusable presets that simplify AI content generation for non-technical users.
- Develop and optimize end-to-end LoRA training pipelines, from dataset preparation through model evaluation and deployment.
- Integrate advanced control mechanisms such as ControlNet, IP-Adapter, inpainting, and reference conditioning into production workflows.
- Implement automated quality control processes to validate generated assets against reference materials before manual review.
- Create reusable frameworks that capture and scale successful creative patterns across projects.
- Partner with design leadership to define the technical roadmap, evaluate new AI models and tools, and promote adoption through technical enablement.
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