Liquid AI Developer Relations role at Liquid AI focused on building and engaging developer communities around small AI models. Responsible for creating reference applications, technical content, and representing Liquid AI at developer events.
Responsibilities
Developers do not yet grasp what a fine-tuned small model can do until they see one running on a phone, in a browser, or on a Jetson board. Closing that imagination gap is the job.
This is a hands-on developer relations role focused on building, writing, and engaging publicly. You will ship reference applications and technical resources, communicate regularly with developers across editorial and community channels, and help establish a credible, consistent developer voice for Liquid.
Sitting within Marketing & Communications, you will work closely with our model, platform, and product teams. Technical teams will partner on accuracy, while you will own how the work is explained, presented, and adapted for developer audiences.
Qualification
We need someone who is aBuilderCommunity nativeFull-range writerIn-person energizerEnd-to-end ownerBe the technical voice in the communityShow up in personCreate content that earns trustClose the loop
Required
We need someone who is a:
Builder: You would rather ship a working reference app than write a strategy memo, and you measure yourself by what developers actually adopt.
Community native: You enjoy answering hard questions in public, you are comfortable being wrong in front of people, and you know the small-model and edge-AI ecosystem well enough to have real opinions.
Full-range writer: You move fluidly between a quick answer on Discord, a step-by-step cookbook, and a long-form technical post without losing accuracy or voice.
In-person energizer: Hackathons, workshops, hallway-track demos, and the conferences where builders actually show up are where you do your best work.
End-to-end owner: You take ownership in ambiguity and turn one-off problems into reusable resources without being asked.
Exceptional public technical communicator: You can turn complex technical work into clear, accurate, compelling writing, talks, demos, and tutorials. You communicate with a distinct human voice, benchmark fairly, avoid hype, and know how to earn the trust of a skeptical technical audience.
Be the technical voice in the community. Live where LFM developers already are — Hugging Face, GitHub, Discord, X. Answer hard questions in public, maintain Liquid's presence on the Hub, and amplify the community fine-tunes and edge deployments worth seeing.
Show up in person. Host hackathons, build nights, and technical workshops at Liquid offices and partner venues. Represent Liquid at the conferences and developer events that matter for small-model and edge AI — submitting talks, running booths, and demoing in the hallway track. Partner with hackathon organizers to make LFMs the obvious choice for builders who care about latency, on-device, or cost.
Build the on-device and adaptation story. Ship reference applications that demonstrate LFMs on real edge hardware (iOS, Android, browser, Jetson, NPUs). Maintain integration recipes for the inference stacks developers use (llama.cpp, MLX, ONNX, executorch, LEAP SDK). Write cookbooks that take a developer from base model to fine-tuned, quantized, deployed in one sitting.
Create content that earns trust. Deeply technical blog posts, demos, and honest benchmarks against Qwen, Gemma, Phi, and SmolLM. First-principles, concrete, no LLM slop. Turn the best in-person workshop material into evergreen content so the in-room audience compounds online.
Close the loop. Maintain a friction log of developer pain points — chat templates, tokenizers, deployment gotchas — and bring the signal into roadmap conversations with the model and platform teams.
