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OpenAI FDE Interview Prep

Prepare for OpenAI Forward Deployed Engineer (FDE) interviews with FAANG-informed guidance. Practise real-world scenarios, design reliable AI solutions, and strengthen technical decision-making.

Created by Fahim ul Haq
OpenAI FDE Interview Prep
What's included
  • 41 lessons across 8 modules
  • with scoring rubrics
  • on every lesson
Why this course
  • Ace the OpenAI FDE InterviewApproach every round, from the project story to the final mission interviews, knowing what each one tests and how to show it.
  • Build on the OpenAI PlatformUse the Responses API, Structured Outputs, the Agents SDK, MCP, and the Realtime API to connect models to real customer systems.
  • Design Production Agent SystemsDesign end-to-end agent workflows with sound tool schemas, retrieval, failure containment, and guardrails, and defend your trade-offs under pushback.
  • Evaluate and Debug Agent PipelinesBuild evaluation sets that catch regressions and use traces to find and fix failures in agent pipelines.
  • Lead Customer Conversations with JudgmentRun discovery, scope a first release, and hold a safety boundary when a customer asks for something unsafe.
Who wrote it
Fahim ul Haq
Software Engineer, Distributed Storage at Meta and Microsoft, Educative (Co-founder & CEO)

Fahim ul Haq is the co-founder and CEO of Educative, a hands-on learning platform for software engineers. He spent nearly a decade as a software engineer at Microsoft and Meta, where he gained deep experience building large-scale distributed systems. His work spanned Project Red Dog at Microsoft, which evolved into Microsoft Azure, and Scuba, Meta's real-time data analytics engine. In 2015, Fahim co-founded Educative to help developers get hands-on with new skills. Fahim's courses have helped hundreds of thousands of engineers learn System Design and prepare for technical interviews. Fahim earned his M.S. in Computer Science from the University of Washington in 2015.

Join 3.1 million developers at

Join 3.1 million developers at

What you'll learn

  • Prepare for the OpenAI FDE role by understanding its key responsibilities and expectations.
  • Differentiate OpenAI FDEs from Solutions Architects and other customer-facing engineering roles.
  • Implement agent workflows using the Responses API, the OpenAI Agents SDK, and MCP.
  • Design evaluation sets, guardrails, and failure containment for multi-agent systems.
  • Navigate each round of the OpenAI FDE interview loop, from the recruiter screen to the final mission interviews.
  • Apply discovery, design, and safety judgment to customer case studies in regulated industries.

Learning Roadmap

41 Lessons

1.

Understanding the FDE Role at OpenAI

Understanding the FDE Role at OpenAI

Master the essentials of OpenAI's Forward Deployed Engineer role and deployment strategies.

3.

Applied System Design

Applied System Design

6 Lessons

6 Lessons

Master the design, evaluation, and debugging of end-to-end agent workflows.

4.

The OpenAI FDE Interview Loop

The OpenAI FDE Interview Loop

8 Lessons

8 Lessons

Master the interview process for OpenAI's FDE role through structured preparation and effective communication.

5.

Case Study: Customer Support Agents at a Telecom Provider

Case Study: Customer Support Agents at a Telecom Provider

4 Lessons

4 Lessons

Master the essentials of automating customer support for enhanced efficiency.

6.

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

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

4 Lessons

4 Lessons

Enhance wealth management research efficiency while ensuring compliance and accuracy.

7.

Case Study: Clinical Note Drafting at a Hospital Network

Case Study: Clinical Note Drafting at a Hospital Network

4 Lessons

4 Lessons

Develop AI tools for safe clinical documentation while ensuring compliance and patient consent.

8.

Bringing It Together

Bringing It Together

2 Lessons

2 Lessons

Master effective interview preparation through clear communication and structured documentation.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Fahim Ul HaqOpenAI FDE Interview PrepFounder & CEO
About this course
WHY I WROTE THIS COURSE
Building an agent with OpenAI's APIs is one skill. Explaining what an FDE delivers, defending a design when evaluation results conflict with customer expectations, and pushing back on unsafe requirements while maintaining customer trust require a broader set of skills. This course helps you practise the technical reasoning, customer judgment, and communication skills relevant to OpenAI FDE interviews. I developed this course based on my experience building large-scale systems at Microsoft and Meta and interviewing hundreds of candidates across both companies. The most common weaknesses I observed weren't always related to technical knowledge. Even experienced engineers struggled when they had to reason through ambiguous problems, justify trade-offs under scrutiny, or recognize requirements that introduced unacceptable risks. Customer-facing engineering roles also require clear communication and sound judgment, particularly when technical decisions affect customer outcomes. The course begins with the FDE role: the systems these engineers help customers build and deploy, how their responsibilities differ from those of solutions architects and other customer-facing engineers, and how OpenAI's mission relates to deployment decisions. You'll then develop practical knowledge of the Responses API, tool calling, Structured Outputs, the Agents SDK, MCP, multi-agent orchestration, and the Realtime API. You'll apply these concepts to system design, including failure containment, evaluation datasets, prompt-injection defenses, and trace-based debugging. Next, you'll prepare for interview stages covering project experience, technical design, customer scenarios, and mission alignment. The course concludes with three case studies: a telecom support agent, a wealth management research assistant, and a clinical note-drafting application for a hospital network. By the end, you'll have practised explaining technical decisions, handling customer constraints, and approaching both engineering and non-technical interview questions.
ABOUT THE AUTHOR

Fahim ul Haq

Software Engineer, Distributed Storage at Meta and Microsoft, Educative (Co-founder & CEO)

Learn more about Fahim

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