FDE Architecture Interview - OpenAI FDE Interview Prep

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OpenAI FDE Interview Prep

1.Understanding the FDE Role at OpenAI

Preparing for the OpenAI FDE Role What OpenAI FDEs Ship FDE vs. Solutions Architects and Other Customer-Facing Engineers Inside OpenAI's Forward Deployed Engineering Team OpenAI's Mission and Deployment Philosophy

2.Building on the OpenAI Platform

The Responses API, Tool Calling, and Structured Outputs The OpenAI Agents SDK Building a Single-Agent Workflow Connecting Models to Customer Systems With MCP Multi-Agent Orchestration: Handoffs and Agents as Tools Workspace Agents, ChatKit, or Your Own Stack Voice Agents With the Realtime API Model Choice, Reasoning Effort, and Cost

3.Applied System Design

Designing an End-to-End Agent Workflow Designing Tool Schemas and Retrieval Containing Failure in Multi-Agent Systems Building an Evaluation Set Guardrails, Moderation, and Prompt Injection Debugging an Agent Pipeline With Traces

4.The OpenAI FDE Interview Loop

The Interview Loop Overview Your Project Story The Recruiter Screen The Coding Round The Case Study and Presentation The LLM Systems Deep Dive The Hiring Manager Conversation The Final Interviews and Mission Questions

5.Case Study: Customer Support Agents at a Telecom Provider

The Take-Home Brief Scoping the First Release Designing the Support Agents Presenting and Defending the Plan

6.Case Study: An Advisor Research Assistant at a Wealth Management Firm

The Customer Brief Discovery With Advisors and Compliance Designing Retrieval and Evals When the Evals Disagree With the Customer

Mock Interview

FDE Architecture Interview

7.Case Study: Clinical Note Drafting at a Hospital Network

The Customer Brief Mapping Data Flows and Consent Designing for Clinical Safety Saying No to an Unsafe Request

8.Bringing It Together

Debriefing the Three Cases Conclusion

Mock Interview

OpenAI Forward Deployed Engineer