Frontier AI Deployment Engineer — Hybrid Madrid

Rozgoo; United States; Hybrid; USD 134,000 - 201,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Travel up to 50%

Job summary

OpenAI is seeking Forward Deployed Engineers to lead complex deployments of frontier models in production from discovery to rollout in Madrid. You will collaborate with customer engineering and domain teams, measure adoption, and influence product and model roadmaps as you ensure successful deployment outcomes.

The role requires 5+ years of deployment experience, production-grade coding skills across Python/JS, and a background in deploying models with LLMs.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

JavaScript

LLMs deployment

End-to-end delivery

Stakeholder communication

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Git

Job description

OpenAI is seeking Forward Deployed Engineers to lead complex deployments of frontier models in production from discovery to rollout in Madrid. You will collaborate with customer engineering and domain teams, measure adoption, and influence product and model roadmaps as you ensure successful deployment outcomes.

The role requires 5+ years of deployment experience, production-grade coding skills across Python/JS, and a background in deploying models with LLMs.