About the Position

Applied AI Engineer, Agent Enablement

San Francisco

About the Team

The Agent Enablement Applied AI Engineering team collaborates across engineering, product, design, partnerships, and strategic customers to develop an open ecosystem of agent-enabled sites and services. We assist partners in adopting the OpenAI tech stack related to identity, permissioning, and agent-auth primitives, enabling users to safely connect with tools, services, and workflows they already use. Our team also works with external partners to define standards for agent access, marketplace offerings, and other agent enablement initiatives, ensuring seamless task completion for users of ChatGPT and Codex.

Responsibilities

In this hands-on, partner-facing product engineering role, you will:

Own the technical partner journey for priority agent enablement integrations-from use-case selection and readiness assessment through architecture, prototype, implementation, evaluation, launch, rollout, and ongoing maintenance.
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 journeys and safe fallback behavior.
Write production and sample code, build reference implementations and test harnesses, and create the technical guidance, integration checklists, evaluations, and debugging tools that move partners from concept to production.
Debug identity and agent workflows end to end: user interface state, browser redirects, PKCE/OIDC transactions, token exchange and validation, account mapping, connector callbacks, CLI or MCP handoffs, latency, retries, rate limits, logs, traces, and metrics.
Review partner architectures and implementation plans for API contracts, scopes and permissions, consent, terms acceptance, and account policy, secret handling, data boundaries, privacy, reliability, and long-term maintainability.
Run hands-on evaluations, dogfood, launch-readiness reviews, staged rollouts, and post-launch investigations; turn findings into concrete fixes rather than one-off workarounds.
Contribute targeted improvements to ChatGPT, Codex, and the Agent Enablement platform, including identity protocols, APIs, SDKs, docs, examples, internal tooling, partner-debugging workflows, launch guardrails, and user-facing consent or control experiences.
Work closely with product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams to make partner launches smooth, safe, and repeatable.
Bring structured signals from partners back to product and engineering, and turn recurring integration patterns into platform requirements, reference architectures, playbooks, and developer guidance.

Requirements

4–6 years of professional software engineering or AI engineering experience and are strong enough technically to contribute to the platform itself while still enjoying hands-on coding.
Experience in customer or partner-facing roles in scoping projects, building MVPs, presenting trade-offs in solution design and architecture, understanding user value drivers as well as scoping and executing on tight implementation plans.
Experience building and operating production full-stack products, APIs, backend services, developer platforms, connectors, or integrations, and can reason across frontend, backend, auth, data models, reliability, privacy, and UX constraints.
Strong understanding of how plugins and connectors work with coding agents, integrating MCP servers, using CLIs and APIs to access external tools.
Comfortable working with external engineers, product leaders, and executives, and translating partner feedback into crisp technical plans and product improvements.
Comfortable with ambiguity and rapidly changing conditions, and can turn high-level ideas into runnable prototypes, API contracts, technical specs.
Balance urgency with judgment and can keep complex partner launches moving while staying precise about the details that matter.

Preferred Qualifications

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.

We Offer

Competitive salary
Relocation assistance for new employees
Hybrid work model (3 days in the office per week)
Opportunity to work on cutting-edge AI technologies
Collaborative and inclusive work environment

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Applied AI Engineer, Agent Enablement

Job description