Forward Deployed Engineer - Madrid

Aimling; Madrid; Híbrido; EUR 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation assistance

Hybrid work model

Descripción de la vacante

Aimling is looking for a Forward Deployed Engineer in Madrid to own complex deployments of frontier models. In this role, you will partner directly with our customers to ensure production systems' success and value delivery.

Responsibilities include scoping work, managing delivery, and contributing to code. The ideal candidate has over 5 years of relevant experience and skill in Python or JavaScript. A hybrid work model is in place, and relocation assistance is offered.

Formación

• 5+ years of engineering or technical deployment experience involving customer-facing work.
• Experience in scoping and delivering complex systems in fast-moving environments.
• Ability to write and review production-grade code across frontend and backend.

Responsabilidades

• Own technical delivery across multiple deployments from prototype to stable production.
• Build full-stack systems that deliver customer value.
• Embed closely with customer teams to understand their needs.

Conocimientos

Engineering or technical deployment experience

Production-grade code writing

System deployment powered by LLMs

Clear communication with stakeholders

Herramientas

Python

JavaScript

Descripción del empleo

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval‑driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Madrid. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

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

Qualifications

• Bring 5+ years of engineering or technical deployment experience that includes customer‑facing work
• Have 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
• Have 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

Equal Employment Opportunity

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

OpenAI’s Aff. Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.