Platform Engineer - Plugin Ecosystem & APIs

United States Digital Space LLC; United States; On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

the company in San Francisco is seeking product-minded engineers to build the systems behind plugins and improve how models use them. You will design APIs, SDKs, and services that developers use to extend ChatGPT and Codex, and you will build experiences that help users discover and install plugins to get more done.

The role requires strong product sense, collaboration across teams, and a track record of delivering reliable infrastructure and developer tools for AI platforms.

Responsibilities

• Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex.
• Build intuitive experiences that help users discover, install, and use plugins to get more done.
• Make plugins easier to create, test, publish, update, and share.
• Improve when and how models use plugins, from choosing the right plugin to completing a task; work with Research to diagnose failures and measure improvements as models evolve.
• Improve plugin reliability and interaction quality across ChatGPT and Codex, including interactive apps, with clear error messages and recovery paths.
• Build consistent permissions, approvals, and admin controls that help individuals and organizations confidently adopt plugins.
• Work with developers and partners to turn recurring problems into improvements to the platform, tooling, and documentation.
• Collaborate across engineering, Product, Research, Security, and Trust & Safety to scale plugin infrastructure and deliver safe, reliable execution.

Job description

the company in San Francisco is seeking product-minded engineers to build the systems behind plugins and improve how models use them. You will design APIs, SDKs, and services that developers use to extend ChatGPT and Codex, and you will build experiences that help users discover and install plugins to get more done.

The role requires strong product sense, collaboration across teams, and a track record of delivering reliable infrastructure and developer tools for AI platforms.