Luma AI
Overview
Join to apply for the
AI Tooling Engineer
role at
Luma AI . 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. You’ll Do
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 You Might Be a Fit If
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 Bonus: experience shipping tools that sit between R&D and production, or serve external creative clients Bonus Points
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 Why Join Our Applied Research Team
Work on frontier multimodal models — and build the tools that make them real Collaborate with an exceptional team of engineers, researchers, and technical artists Shape the future of how humans interact with generative AI — not just inside Luma, but out in the world Contribute at the boundary of research, product, and creativity — with real user impact Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Software Development
#J-18808-Ljbffr
Join to apply for the
AI Tooling Engineer
role at
Luma AI . 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. You’ll Do
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 You Might Be a Fit If
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 Bonus: experience shipping tools that sit between R&D and production, or serve external creative clients Bonus Points
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 Why Join Our Applied Research Team
Work on frontier multimodal models — and build the tools that make them real Collaborate with an exceptional team of engineers, researchers, and technical artists Shape the future of how humans interact with generative AI — not just inside Luma, but out in the world Contribute at the boundary of research, product, and creativity — with real user impact Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Software Development
#J-18808-Ljbffr