Developer Relations

liquid-aiSan FranciscoMarketing

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Opens the official liquid-ai careers page

Salary

Not listed

Job type

Full-time

Work mode

Remote

Experience

Senior

Posted

10 Oct 2026

Status

Open · checked 7d ago

About this role

Liquid AI seeks a Developer Relations professional in San Francisco to establish a credible developer voice and showcase small-model capabilities. This hands-on position suits a technical builder and communicator who enjoys public engagement, writing, and edge AI advocacy.

Role Overview

Liquid AI is hiring a Developer Relations specialist based in San Francisco to bridge the gap between complex efficient AI systems and everyday developers. Operating within Marketing & Communications, the role involves building practical applications, writing technical content, and engaging builders across platforms and in person.

Key Responsibilities

Serve as the primary technical voice across platforms like Hugging Face, GitHub, Discord, and X by answering complex questions and managing the presence on the Hub.

Organize and lead hackathons, build nights, and technical workshops while representing the company at industry conferences and events.

Develop reference applications demonstrating models on edge hardware including iOS, Android, browsers, and Jetson, alongside integration recipes for frameworks such as llama.cpp, MLX, ONNX, and ExecuTorch.

Write technical content, deep-dive blog posts, tutorials, cookbooks, and objective benchmarks without promotional fluff.

Track developer friction points regarding chat templates, tokenizers, and deployment to inform product and platform team roadmaps.

Requirements

Hands-on technical expertise with large language models, including fine-tuning methods like LoRA, QLoRA, and distillation, plus tokenizer debugging and production deployment tracking.

Deep familiarity with the modern AI stack including PyTorch, Hugging Face ecosystem tools, and serving frameworks like vLLM, TGI, or ONNX Runtime, along with knowledge of quantization tradeoffs such as GGUF, AWQ, and GPTQ.

Experience with on-device deployment or efficient model ecosystems involving architectures like Phi, Gemma, Qwen, or SmolLM.

Past professional experience in developer relations, advocacy, or community engineering with direct public engagement responsibilities.

A robust portfolio of public technical writing, tutorials, cookbooks, or open-source educational content showing clarity and accuracy.

Nice to Have

Active contributions to open-source software within inference or efficient-model ecosystems.

Prior experience running hackathons, workshops, and developer community events.

Skills and Tools

PyTorch

Hugging Face Transformers, PEFT, and Datasets

llama.cpp, MLX, vLLM, ONNX Runtime, TGI

GGUF, AWQ, GPTQ, INT8, INT4 quantization

iOS, Android, Jetson, NPUs, and browser deployment targets

Discord, GitHub, Hugging Face, X

Salary and Benefits

Competitive base salary and equity in a unicorn-stage company

100% employer-paid medical, dental, and vision insurance coverage for employees and dependents

401(k) matching program up to 4% of base pay

Unlimited paid time off alongside company-wide Refill Days

About the Company

Spinning out of MIT CSAIL, Liquid AI constructs general-purpose artificial intelligence systems optimized to run efficiently across various deployment targets from data centers to on-device hardware. The organization prioritizes low latency, minimal memory usage, privacy, and reliability while partnering with enterprises in consumer electronics, automotive, life sciences, and financial services.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

PyTorch Hugging Face Transformers PEFT Datasets llama.cpp MLX vLLM ONNX Runtime TGI ExecuTorch GGUF AWQ GPTQ LEAP SDK LLM LLMs Fine-tuning

Questions candidates ask

Where is this job located?

This position is based in San Francisco.

What team does the Developer Relations role sit within?

The role sits within Marketing & Communications while collaborating closely with model, platform, and product teams.

What kind of benefits are included?

Benefits include 100% paid medical, dental, and vision premiums for employees and dependents, 401(k) matching up to 4%, unlimited PTO, company-wide Refill Days, and equity.

What tools and frameworks are required to know?

Candidates must be familiar with PyTorch, Hugging Face libraries, and serving frameworks such as llama.cpp, MLX, vLLM, ONNX Runtime, or TGI.

How should I submit my application?

Applications should be submitted on the official company careers page.

Ready to apply?

The application is on the official liquid-ai careers page.

Apply on company site