Developer Relations
Core
Technical voice for Liquid AI's edge AI and small-model ecosystem, bridging the gap between complex model capabilities and developer adoption through public engagement, content creation, and reference applications.
Role type
Senior Developer Relations Engineer (Edge AI / Small Models)
Builds
Reference applications, cookbooks, technical content, and community resources for on-device LLM deployment
Domain
Artificial Intelligence, Edge Computing, Efficient Model Deployment
Deliverable
production ML models
Required skills
LLM fine-tuning (LoRA, QLoRA, distillation), tokenizer debugging, on-device deployment (iOS, Android, embedded), PyTorch, Hugging Face ecosystem, model serving frameworks (llama.cpp, MLX, vLLM, ONNX Runtime), quantization (GGUF, AWQ, GPTQ), technical writing, public speaking
Preferred skills
Open-source contributions to inference tooling, organizing hackathons or developer events
Technologies
PyTorch, Hugging Face Transformers, PEFT, llama.cpp, MLX, vLLM, ONNX Runtime, GGUF, AWQ, GPTQ, iOS, Android, Jetson, NPUs
Responsibilities
Ship reference applications demonstrating LFMs on edge hardware; host hackathons, build nights, and technical workshops; create deep technical content (blogs, cookbooks, tutorials); answer hard technical questions in public channels; close the feedback loop between developer pain points and product roadmap
Seniority
Senior, hands-on IC
