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AI Tooling Engineer

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Luma AI

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Location:
United States; United Kingdom , Palo Alto

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. We're looking for full stack engineers who are passionate about AI tooling, have a strong product sense, and enjoy working at the intersection of research and usability. You'll be part of Luma's applied research team and build interfaces, pipelines, and services that bring the latest model capabilities directly into the hands of creators.

Job Responsibility:

  • Build web-based tools and UIs that make advanced model behavior feel intuitive and usable
  • Design and implement pipelines for model training, fine-tuning (e.g., LoRA), and real-time inference
  • Collaborate with Research and Technical Art teams to prototype new workflows grounded in evolving model capabilities
  • Extend and integrate open-source frameworks like ComfyUI to fit internal and client-specific use cases
  • Contribute to both internal experimentation tooling and external-facing production features
  • Support productization efforts for enterprise and B2B applications involving multimodal AI

Requirements:

  • 5+ years of experience in software engineering, ideally across both backend and frontend systems
  • Strong Python and JavaScript/TypeScript skills
  • fluency in modern web frameworks (e.g., React, Next.js)
  • Familiarity with ML pipelines and GPU-based compute (e.g., PyTorch, ffmpeg, SLURM/Kubernetes)
  • Experience with training and deploying models (LoRA, ControlNet, diffusion models a plus)
  • Passion for building usable, elegant tools for technical artists, researchers, or creative professionals

Nice to have:

  • Experience with LoRA, ControlNet, or real-time AI media generation
  • Tools that shipped between R&D prototypes and production-quality software
  • Interfaces or systems that helped non-engineers leverage AI models creatively

Additional Information:

Job Posted:
January 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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