Software Engineer, Cooperative AI
AI summary of the role
Build AI-powered knowledge and automation systems that scale OpenAI's internal and customer-facing operations.
What you’ll do
- Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems
- Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutions
- Work with product and research team to share relevant feedback and iterate on applying their latest models
What you’ll bring
- Passionate about blending production-ready platform architecture with new tech and new paradigms
- Proactive, customer-centric engineer who can get foundational details right (data models, architecture, security)
Technologies
AI · knowledge systems · automation systems · automated agent systems · data models · architecture · security
About OpenAI
Builds frontier AI models (GPT series) and ships them as ChatGPT consumer/enterprise products plus a developer API for the broader AI ecosystem.
Private Late
Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class
More from the job description
About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for Software Engineers who're passionate about blending production-ready platform architec [... source excerpt omitted ...] new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products. In this role, you will: Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutions Work with product and research team to share relevant f
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