AI Platform Engineer, Applied AI

Jobgether; A distancia; EUR 110.000 - 119.000; Jornada completa

Descripción de la vacante

A recruitment agency is seeking an AI Platform Engineer to design infrastructure for scalable AI systems. The role demands building evaluation frameworks and observability tooling. Candidates must have a strong background in AI systems, particularly in RAG pipelines, and proficiency in Python. This fully remote role offers a competitive salary of $130,000-$140,000 USD annually, comprehensive benefits, and the chance to contribute to high-impact AI infrastructure that serves millions of users.

Servicios

Competitive U.S.-benchmarked salary

Fully remote work

35 days of PTO annually

Comprehensive medical coverage

Parental leave

Home office stipend

Annual company retreats

Formación

• Proven experience building and evaluating AI systems in production, including RAG pipelines.
• Strong proficiency in Python for prototyping and experimentation.
• Expertise in AI infrastructure, evaluation pipelines, and observability tooling.

Responsabilidades

• Build evaluation infrastructure to measure AI system speed, accuracy, and reliability.
• Develop observability tools and dashboards for quality metrics.
• Diagnose performance gaps across AI workflows.

Conocimientos

Building and evaluating AI systems

Proficiency in Python

Familiarity with Ruby on Rails

Expertise in AI infrastructure

Deep understanding of RAG architecture

Strong experimentation and data analysis skills

Ability to work autonomously

Proficiency in English (CEFR Level C2)

Descripción del empleo

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Platform Engineer, Applied AI in Spain.

We are seeking a highly skilled AI Platform Engineer to design and implement infrastructure that enables large-scale AI systems to operate reliably and efficiently. In this role, you will focus on production AI systems, building evaluation frameworks, observability tooling, and diagnostic infrastructure to measure and improve system performance. You will collaborate with engineers across the organization to identify gaps, prototype solutions, and implement improvements that enhance AI-driven features. The ideal candidate thrives in a fast-paced, fully remote environment, is comfortable navigating ambiguity, and has a passion for optimizing AI systems that impact millions of users. This is a high-ownership role with significant influence on how AI features are monitored, evaluated, and improved.

Accountabilities

• Build evaluation infrastructure to measure AI system speed, accuracy, and reliability, both offline and in production.
• Develop observability tools and dashboards that surface quality metrics and track improvements over time.
• Diagnose performance gaps across retrieval, ranking, prompting, and other AI workflows.
• Prototype and validate improvements to AI pipelines, including RAG pipelines, chunking strategies, retrieval methods, and re-ranking approaches.
• Analyze usage data to identify opportunities for enhancement and new AI features.
• Collaborate with engineers to ensure production changes improve system quality and reliability.
• Stay current with cutting-edge AI research, techniques, and tools to inform platform improvements.

Requirements

• Proven experience building and evaluating AI systems in production, including RAG pipelines, retrieval/search systems, and LLM-powered applications.
• Strong proficiency in Python for prototyping and experimentation.
• Willingness to learn and work with Ruby on Rails for integrating with production systems.
• Expertise in AI infrastructure, evaluation pipelines, observability tooling, and data processing.
• Deep understanding of RAG architecture, embeddings, retrieval, re-ranking, and context management.
• Strong experimentation and data analysis skills, including designing A/B tests, measuring results, and iterating quickly.
• Ability to work autonomously in a fast-paced, dynamic environment while collaborating effectively with a team.
• Strong alignment with company values and CEFR Level C2 / ILR Level 5 proficiency in English.
• Bonus: Experience with AI evaluation frameworks such as Braintrust or LangSmith.

Benefits

• Competitive U.S.-benchmarked salary range: $130,000 – $140,000 USD per year, with annual reviews and potential equity and bonus opportunities.
• Fully remote work with autonomy and focus on outcomes.
• 35 days of PTO annually, plus paid sabbatical after 5 years.
• Comprehensive medical coverage for employees and families or reimbursement options.
• Parental leave for expanding families.
• Home office stipend and professional learning & development support.
• Annual company retreats at international locations.
• Opportunity to work on high-impact AI infrastructure that shapes the user experience for millions of customers.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role\'s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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