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OpenAI

Forward Deployed Engineer

OpenAI

Forward Deployed Engineer partnering with customers to deploy frontier models in production. Focusing on technical delivery and close collaboration with customer teams.

Posted 7/21/2026full-timeZurich • 🇨🇭 SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack system development, technical delivery, and customer engagement, with a strong focus on writing production-grade code in Python and JavaScript. Capable of simplifying complex challenges and making sound decisions in fast-paced environments while effectively communicating with diverse stakeholders.

Highest-signal resume keywords
Full-Stack System DevelopmentProduction-Grade Code in PythonProduction-Grade Code in JavaScriptCustomer-Facing Technical DeploymentLLM or Generative Model Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Full-Stack DevelopmentProduction-Grade CodePythonJavaScriptLLM DeploymentGenerative ModelsSystem ScopingTechnical DeliveryCode ReviewComplex System Delivery
Soft Skills
Clear CommunicationDecision Making Under PressureRisk SpottingClarity and Follow-ThroughCalm Judgment
Tools & Technologies
Deployment ToolsPlaybooksBuilding Blocks
Industry Keywords
Customer ValueTechnical DeliveryPrototype to ProductionFast-Moving EnvironmentsAmbiguous Environments

Tech Stack

Tools & technologies
JavaScriptPython

About the role

Key responsibilities & impact
  • Own technical delivery across multiple deployments from first prototype to stable production
  • Build full-stack systems that deliver customer value and sharpen how we learn
  • Embed closely with customer teams, understand their needs, and guide adoption of what you build
  • Scope work, sequence delivery, and remove blockers early
  • Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
  • Contribute directly in the code when progress or clarity depends on it
  • Codify working patterns into tools, playbooks, or building blocks that others can use
  • Share field feedback that helps Research and Product understand where the models succeed and where they can improve
  • Keep teams moving through clarity and follow-through

Requirements

What you’ll need
  • 5+ years of engineering or technical deployment experience that includes customer-facing work
  • Scoped and delivered complex systems in fast-moving or ambiguous environments
  • Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
  • Built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
  • Simplify complexity and make fast, sound decisions under pressure
  • Communicate clearly with engineers, product teams, and customer stakeholders
  • Spot risks early and adjust without slowing down
  • Model calm and judgment when the stakes are high

Benefits

Comp & perks
  • Relocation assistance
  • Travel up to 50% is required