Applied AI Engineer, Sign in with ChatGPT

Job summary

Responsibilities

We are looking for an Applied AI Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools.

• Own the technical partner journey for priority agent enablement integrations—from use-case selection and readiness assessment through architecture, prototype, implementation…
• Help partners choose and implement the right integration path across browser sign-in, connector-initiated OAuth, and agentic account linking or provisioning, with clear user…
• Write production and sample code, build reference implementations and test harnesses, and create the technical guidance, integration checklists, evaluations, and debugging tools…
• Debug identity and agent workflows end to end: user interface state, browser redirects, PKCE/OIDC transactions, token exchange and validation, account mapping, connector…
• Review partner architectures and implementation plans for API contracts, scopes and permissions, consent, terms acceptance, and account policy, secret handling, data boundaries…

What they're looking for

• High-level understanding of the identity stack, including how OAuth works.
• Experience designing or operating APIs, webhooks, schemas, SDKs, CLIs, MCP servers, tool-calling systems, or other developer-facing integrations.
• Prior customer-facing or partner-facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software.
• Strong familiarity with AI products, LLM APIs, ChatGPT or Codex surfaces, coding harnesses, developer platforms, agent workflows, or ecosystem products.
• Experience with evaluations, staged rollouts, observability, incident response, launch operations, and turning production learnings into durable platform improvements.