TL;DR

AI Engineer: Contributing to the end-to-end design, development, and deployment of strategic AI and LLM-powered solutions with an accent on architecting scalable, robust, and secure systems. Focus on complex data engineering, advanced ML models, and next-generation LLM methodologies in cross-functional teams.

Location: Hybrid, requiring regular engagement at office hubs in Madrid or Lausanne.

Company

%hirify_global% is one of the world’s largest and most impactful research publishers, dedicated to making peer-reviewed, quality-certified science openly accessible.

What you will do

Define scalable AI architectures and integrate data processing, traditional machine learning, and emerging LLM methodologies.
Support deployment, monitoring, and continuous optimization of ML pipelines and LLM models in production.
Align technical innovation with organizational business strategies and OKRs, collaborating closely with stakeholders.
Adopt and promote quality and excellence, contributing to documentation and knowledge-sharing.
Contribute to troubleshooting and complex problem-solving efforts for robust and reliable ML systems.

Requirements

3–5+ years of professional AI experience developing and deploying enterprise-scale AI systems.
Strong proficiency in Python, SQL, cloud platforms (AWS, Azure, GCP), Docker, and Kubernetes.
Extensive practical experience with production ML frameworks, advanced LLM models, fine-tuning, prompt engineering, and orchestration tools (Apache Airflow).
Exceptional communication skills, able to convey complex technical concepts clearly across all stakeholder levels.
Proven problem-solving excellence and ability to continuously adapt, learn, and integrate evolving AI techniques.

Nice to have

Proven ability in infrastructure as code (Terraform) for scalable AI solutions.
Demonstrable experience in secure and robust AI deployments.
Deep interest and experience in generative AI and LLM innovation.

Culture & Benefits

4 additional wellbeing days in addition to existing annual leave allowance.
Access to learning platforms and dedicated learning & development time.
A range of wellbeing initiatives, including free online yoga classes and an employee assistance plan.
Employees can dedicate three days each year to volunteer.
Additional benefits depending on your location (e.g., pension plan and private medical care).
Actively embraces diversity and is a safe and welcoming workplace, free from discrimination.