Developer Relations

Liquid AI

. Serve as Liquid's technical voice in developer communities including Hugging Face, GitHub, Discord, and X .

Posted 10/10/2026full-timeSan Francisco • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in LLMs, including model fine-tuning and deployment across various platforms. Proven ability to engage developer communities through technical communication, workshops, and events.

Highest-signal resume keywords

Hands-On Experience With LLMsDeep Familiarity With PyTorchExperience With Tokenizer DebuggingStrong Technical Writing SkillsDemonstrated Experience In Developer Relations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model Fine-TuningQuantization TradeoffsOn-Device DeploymentModel Serving FrameworksHugging FaceTransformersPEFTDatasetsDebuggingShipping To Production

Soft Skills

Public Technical CommunicationCommunity EngagementCollaboration

Tools & Technologies

Llama.cppMLXONNX RuntimeTGIJetsonNPUs

Industry Keywords

Developer AdvocacyCommunity EngineeringHackathonsWorkshopsOpen-Source Contributions

Tech Stack

Tools & technologies

AndroidiOSPyTorch

About the role

Key responsibilities & impact

Serve as Liquid's technical voice in developer communities including Hugging Face, GitHub, Discord, and X
Answer technical questions publicly, maintain Liquid's presence on Hugging Face, and amplify community fine-tunes and edge deployments
Host hackathons, build nights, and technical workshops at Liquid offices and partner venues
Represent Liquid at conferences and developer events through talks, booths, and hallway-track demos
Partner with hackathon organizers to promote LFMs for latency-, on-device-, and cost-sensitive builders
Build reference applications demonstrating LFMs on iOS, Android, browsers, Jetson, and NPUs
Maintain integration recipes for llama.cpp, MLX, ONNX, ExecuTorch, and LEAP SDK
Write cookbooks covering fine-tuning, quantization, and deployment
Create technical blog posts, demos, and honest benchmarks against Qwen, Gemma, Phi, and SmolLM
Convert workshop material into evergreen online content
Maintain a developer-friction log and bring feedback into model and platform roadmap discussions
Establish Liquid's credible, consistent developer voice and collaborate with model, platform, and product teams

Requirements

What you’ll need

Hands-on experience with LLMs, including model fine-tuning (LoRA, QLoRA, full fine-tuning, distillation)
Experience with tokenizer debugging
Track record of shipping to production or active community environments
Deep familiarity with PyTorch
Deep familiarity with Hugging Face (Transformers, PEFT, Datasets)
Familiarity with model serving frameworks such as llama.cpp, MLX, vLLM, ONNX Runtime, or TGI
Understanding of quantization tradeoffs (GGUF, AWQ, GPTQ, INT8/INT4)
Experience with on-device deployment (iOS, Android, embedded) or specialized work within the efficient-model ecosystem
Demonstrated experience in developer relations, developer advocacy, or community engineering, including direct responsibility for engaging and supporting developers publicly
Strong portfolio of public technical communication, such as technical articles, tutorials, cookbooks, talks, videos, workshops, or open-source educational content
Strong technical writing and editing skills
Active open-source contributions, especially to inference or efficient-model tooling ecosystem (nice-to-have)
Experience organizing or running hackathons, workshops, or developer events (nice-to-have)

Benefits

Comp & perks

Equity in a unicorn-stage company
100% of medical, dental, and vision premiums paid for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO
Company-wide Refill Days throughout the year
Direct influence on product direction and access to the founding team