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OpenAI

AI Deployment Engineer, Ecosystem - Plugins

San Francisco (Remote)$197k–$280kfulltimemidAdded today

About this role

OpenAI seeks an AI Deployment Engineer to guide strategic partners through building, launching, and maintaining ChatGPT and Codex plugins. This hands-on role combines product engineering, partner collaboration, and technical leadership—working across code, architecture review, platform improvements, and cross-functional coordination to ship genuinely useful integrations.

What you'll do

  • Own the complete technical partner journey from pitch through architecture, build, evaluation, submission, launch, and post-launch maintenance
  • Identify strong plugin use cases, define user journeys, and help partners focus on high-value ChatGPT/Codex workflows
  • Write production code, build prototypes, and create technical guidance, evaluation frameworks, and debugging tools
  • Debug API contracts, OAuth flows, tool invocation, latency, rate limits, and cross-system issues
  • Review partner architectures and implementations for API design, security, data handling, privacy, and reliability
  • Contribute platform improvements to ChatGPT, Codex, and the plugins platform; translate partner feedback into reusable playbooks and requirements

What they're looking for

  • API design and production backend systems
  • OAuth/authentication flows and security
  • Plugin architecture and integrations
  • Debugging distributed systems with logs, traces, and metrics
  • Product sense and user experience judgment
  • Clear communication with engineers, product leaders, and executives
  • Python or similar backend languages
  • Data privacy and trust considerations

Benefits

  • Hybrid work model with 3 days/week in San Francisco office
  • Relocation assistance for new employees
  • Work on strategic AI partnerships at OpenAI
  • Influence on ChatGPT and Codex ecosystem direction
  • Hands-on coding and product impact
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

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Likely interview questions

  • Walk us through a production API or integration you built—what technical challenges did you face and how did you debug them?
  • How do you balance shipping speed with maintainability when working with external partners?
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