Liquid AI
Developer Relations
San Francisco +1 · Hybrid · Full-time · Posted Oct 10, 2026
- Location
- San Francisco
New York
About the job
Build Liquid AI’s developer community and explain how to fine-tune, adapt, and deploy small models on edge devices through technical support, reference apps, events, and educational content.
What you'll do
- Answer developers’ questions publicly, maintain Liquid’s presence on developer platforms, and share notable community projects.
- Build on-device reference apps and integration recipes, and create technical cookbooks, posts, demos, and benchmarks.
- Host and participate in developer events, and bring developer pain points to model and platform teams.
What they ask for
- Hands-on LLM experience, including fine-tuning and tokenizer debugging, with a track record of shipping to production or active community environments.
- Fluency with PyTorch and Hugging Face tools, plus at least one model-serving framework and a working understanding of quantization tradeoffs.
- Experience with on-device deployment or specialized work in the efficient-model ecosystem.
- Developer relations, advocacy, or community engineering experience engaging and supporting developers publicly; a public portfolio of technical communication.
Nice to have
- Open-source contributions to inference or efficient-model tooling.
- Experience organizing or running hackathons, workshops, or developer events.
Tools
PyTorch, Hugging Face, Transformers, PEFT, Datasets, llama.cpp, MLX, ONNX Runtime
AI focus
Promote and enable fine-tuning, quantization, and on-device deployment of small language models; build reference applications, integration recipes, and educational materials.
Model-written summary · the original posting is authoritative