AI Developer Advocate

Location: San Francisco, CA, United States
Work arrangement: On-site

Company

hirify.global is building a multi-silicon neocloud for fast, efficient AI inference by combining large-scale compute infrastructure with an execution platform that maps AI workload stages to suitable hardware.

What you will do

• Create technically credible demos, examples, and educational content for AI developers.
• Engage directly with AI builders and build trusted relationships in relevant developer communities.
• Help developers progress from their first API call to reliable production deployments.
• Identify developer friction across APIs, SDKs, documentation, and tooling, and turn feedback into product improvements.
• Establish developer outreach channels and define developer experience objectives for the upcoming developer cloud.

Requirements

• Evidence of technical communication through articles, talks, videos, documentation, open-source projects, or sample applications.
• Hands-on experience building applications with LLM or multimodal-model APIs.
• Practical understanding of AI inference concepts including latency, throughput, context length, batching, quantization, model routing, and cost.
• Professional software development experience, ideally with Python or TypeScript.
• Ability to explain technical subjects clearly, engage publicly, represent a technical product, and work independently.

Nice to have

• Experience with open-weight models and serving frameworks such as vLLM, SGLang, or TensorRT-LLM.
• Familiarity with agent frameworks, retrieval systems, evaluations, observability, and fine-tuning.
• Experience running workshops, hackathons, developer programs, or technical communities.
• Contributions to open-source AI projects or experience in developer relations, developer experience, solutions engineering, or developer education.
• Familiarity with GPU infrastructure and production ML systems.

Culture & Benefits

• Work on production AI infrastructure spanning new hardware, customers, and data centers.
• Solve technically challenging problems across frontier models, production infrastructure, and emerging hardware.
• Own meaningful work and help shape the future of AI inference and developer experience.