Production AI Deployment Engineer - Madrid, Hybrid

FDE Times; Madrid; Hybrid; EUR 110,000 - 170,000; Full time

Benefits offered by this job

Relocation assistance

Travel up to 50%

Job summary

OpenAI is seeking Forward Deployed Engineers to lead complex deployments of frontier models in production for strategic customers in Madrid. You will own discovery, scoping, system design, build, and rollout, working with customer engineering teams and domain experts.

You will measure success by production adoption, workflow impact, and feedback that informs product and model roadmaps, collaborating with Product, Research, Partnerships, GRC, Security, and GTM teams.

Qualifications

• 6+ years of engineering or technical deployment experience including customer-facing work.
• Professional fluency in Spanish and English is required for this role.

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

Spanish proficiency

English proficiency

6+ years engineering

Full-stack development

LLM deployment experience

Customer-facing experience

Code in Python/JavaScript

Tools

Python

JavaScript

Job description

OpenAI is seeking Forward Deployed Engineers to lead complex deployments of frontier models in production for strategic customers in Madrid. You will own discovery, scoping, system design, build, and rollout, working with customer engineering teams and domain experts.

You will measure success by production adoption, workflow impact, and feedback that informs product and model roadmaps, collaborating with Product, Research, Partnerships, GRC, Security, and GTM teams.