Applied AI Engineer, Agent Enablement
OpenAI · San Francisco
CHECKED 23H AGO
Frontier labonsitemid-level$197k–$280k
At a glance
Highlights
- Grow open ecosystem of agent-enabled sites and services for ChatGPT and Codex.
- Own partner integrations from prototype to launch and ongoing operation.
- Turn ambiguous identity and workflow needs into secure production integrations.
What they offer
- Equity
- Relocation assistance
Ideal candidate
Product-minded engineer who loves partner-facing building, stays close to users, and turns ambiguous identity and workflow problems into secure, reliable agent experiences.
Requirements
- 4–6 years of professional software engineering or AI engineering experience
- Experience in customer or partner-facing roles scoping projects and building MVPs
- Built and operated production full-stack products, APIs, backend services or integrations
- Understanding of plugins and connectors, MCP servers, CLIs and APIs for external tools
- Comfortable working with external engineers, product leaders and executives
- Comfortable with ambiguity and turning ideas into prototypes and specs
- remote policy
- Hybrid, 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets