AI Developer Advocate: Educate Builders, Shape Inference

gimlet; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Gimlet Labs seeks an AI Developer Advocate to empower developers to evaluate and build on our AI inference platform. You’ll craft credible demos, write tutorials, and engage directly with AI builders to gather feedback that informs APIs, SDKs, and product improvements.

You will bridge engineering, product, and community, explaining complex systems clearly and helping developers move from their first API call to reliable production deployments.

Qualifications

• Evidence of technical communication, including articles, talks, videos, documentation, or open-source projects.
• Strong empathy for developers and an instinct for recognizing friction in APIs, docs, and tooling.
• Ability to explain technical subjects clearly to audiences with different levels of expertise.
• Comfort engaging publicly and representing a technical product.
• Hands-on experience building applications with LLM or multimodal-model APIs.
• Proficiency in Python or TypeScript.

Responsibilities

• Create technically credible demos and educational content for developers.
• Engage with AI builders to gather feedback and drive improvements across APIs, SDKs, and docs.
• Develop and maintain content that helps developers move from first API call to production deployments.
• Build in public, explain complex systems clearly, and reduce developer friction.
• Collaborate with engineering, product, and community teams to shape the developer experience.

Tools

vLLM

TensorRT-LLM

SGLang

Job description

Gimlet Labs seeks an AI Developer Advocate to empower developers to evaluate and build on our AI inference platform. You’ll craft credible demos, write tutorials, and engage directly with AI builders to gather feedback that informs APIs, SDKs, and product improvements.

You will bridge engineering, product, and community, explaining complex systems clearly and helping developers move from their first API call to reliable production deployments.