AI Tooling Engineer
About The Position
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. A Day in the Life In the morning, you tweak a prototype interface used to test a new spatial-control feature for video generation - hooking it into an inference service you helped build last week. After a quick sync with the Research team, you jump into a session with Technical Art to refine the UI for LoRA training on a stylized dataset. By afternoon, you're wiring up a ComfyUI extension to support a new model architecture. You close the day by reviewing feedback from a design partner who used your tool in a client demo.
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 Haves
- 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
Responsibilities
- 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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Education Level
No Education Listed
Number of Employees
51-100 employees
