Developer Relations

Liquid AI • San Francisco, CA

1d • Hybrid

About The Position

Spun out of MIT CSAIL, Liquid AI builds general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. They partner with enterprises across consumer electronics, automotive, life sciences, and financial services. The company is scaling rapidly and needs exceptional people to help them get there.

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. The role will be Liquid's technical voice where builders already are -- Hugging Face, GitHub, Discord, and the developer events that matter for edge AI -- turning individual troubleshooting sessions on chat templates, quantization, and on-device deployment into cookbooks, reference apps, and content the whole community can use.

This is a hands-on developer relations role focused on building, writing, and engaging publicly. The individual 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, the role will work closely with our model, platform, and product teams. Technical teams will partner on accuracy, while the developer relations role will own how the work is explained, presented, and adapted for developer audiences.

Requirements

• Proven technical expertise: hands-on experience with LLMs, including model fine-tuning (LoRA, QLoRA, full fine-tuning, distillation), tokenizer debugging, and a track record of shipping to production or active community environments
• Fluency with the modern AI stack: deep familiarity with PyTorch, Hugging Face (Transformers, PEFT, Datasets), and model serving frameworks (llama.cpp, MLX, vLLM, ONNX Runtime, or TGI), alongside an understanding of quantization tradeoffs (GGUF, AWQ, GPTQ, INT8/INT4)
• Efficient model specialization: experience with on-device deployment (iOS, Android, embedded) or specialized work within the efficient-model ecosystem (Phi, Gemma, Qwen, SmolLM, or distilled architectures)
• Demonstrated experience in developer relations, developer advocacy, or community engineering, including direct responsibility for engaging and supporting developers publicly.
• A strong portfolio of public technical communication, such as technical articles, tutorials, cookbooks, talks, videos, workshops, or open-source educational content, that demonstrates accuracy, clarity, judgment, and an authentic voice.
• Strong technical writing and editing skills, with the ability to turn complex model, tooling, and deployment concepts into content that developers can understand and act on.

Nice To Haves

• Active open-source contributions, especially to the inference or efficient-model tooling ecosystem (llama.cpp, MLX, ONNX, Hugging Face libraries)
• Experience organizing or running hackathons, workshops, or developer events

Responsibilities

• 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.

Benefits

• Competitive base salary with equity in a unicorn-stage company
• We pay 100% of medical, dental, and vision premiums for employees and dependents
• 401(k) matching up to 4% of base pay
• Unlimited PTO plus company-wide Refill Days throughout the year

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed