Forward Deployed Engineer - Madrid (Spanish-speaking)

United States Digital Space LLC; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Relocation assistance

Travel up to 50%

Job summary

United States Digital Space LLC is seeking Forward Deployed Engineers to lead end-to-end deployments of frontier models in production. You will own discovery, scoping, design, build, and rollout in collaboration with customer teams.

You will measure success by production adoption, workflow impact, and feedback that shapes product and model roadmaps. Hybrid work with relocation assistance and travel up to 50% are offered.

Qualifications

• 6+ years of engineering or deployment experience with customer-facing work.
• Professional fluency in Spanish and English is required.
• Experience delivering complex systems in fast-moving environments; production-grade code in Python/JavaScript.

Responsibilities

• Own technical delivery across multiple deployments from first prototype to stable production.
• Build full-stack systems delivering customer value and learning capabilities.
• Embed with customer teams, understand needs, guide adoption of delivered solutions.
• Scope work, sequence delivery, and remove blockers early.
• Balance scope, speed, and quality; adjust plans to protect delivery.
• Contribute code when needed to progress.
• Codify patterns into tools or playbooks for reuse.
• Share field feedback to inform Research and Product roadmaps.
• Maintain momentum through clarity and follow-through.

Skills

Customer-facing experience

Spanish and English fluency

Frontend and backend development

Python

JavaScript

LLM deployment / generative models

Tools

LLM deployment tooling

Job description

About the team

the company’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.

In this role you will

• 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

You might thrive in this role if you

• Bring 6+ years of engineering or technical deployment experience that includes customer-facing work
• Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers
• 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

About the company

the company is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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.

For additional information, please see the company’s Afff..

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At the company, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.