AI Engineer

Who Are We

At Frontiers, our purpose is simple yet ambitious: to make science open. We believe open science empowers the global scientific community to accelerate discovery and develop the solutions needed for healthy lives on a healthy planet.

We are one of the world's largest and most influential open-access research publishers. Every article we publish is peer-reviewed and quality-certified, ensuring research is accessible to everyone, everywhere. To date, Frontiers research has been viewed over 4 billion times, demonstrating the real-world impact of science without barriers.

Joining Frontiers means being part of a global, mission-driven organization at the intersection of science, technology, and innovation — working alongside passionate colleagues who care deeply about advancing knowledge for the benefit of society.

To learn more about our impact and culture, please watch this video

About the Role:

We seek an exceptional AI Engineer  to contribute to the end-to-end design, development, and deployment of strategic AI initiatives. You will play a critical role in architecting scalable, robust, and secure AI and LLM-powered solutions, significantly impacting business operations and strategic decision-making.

In this role, you will work in cross-functional teams, and participate in key technical decisions involving complex data engineering, advanced ML models, and next-generation LLM methodologies.

Key Responsibilities:

• Contribute defining comprehensive, scalable AI architectures, and to develop complex integration of data processing, traditional machine learning, and emerging LLM methodologies.
• Support deployment, monitoring, and continuous optimization of ML pipelines and LLM models in production contexts.
• Actively align technical innovation with organizational business strategies and OKRs, collaborating closely with stakeholders across multiple functions.
• Adopt and promote quality and excellence, contributing to documentation and knowledge-sharing.
• Contribute to troubleshooting and complex problem-solving efforts, ensuring robust and reliable ML systems and LLM deployments.
  
  

Requirements

• Typically 3-5+ years of professional AI experience, demonstrating a successful track record of developing and deploying enterprise-scale AI systems.
• Strong proficiency in Python, SQL, cloud platforms (e.g., AWS, Azure, GCP), and container orchestration tools (Docker, Kubernetes).
• Extensive practical experience with production ML frameworks, advanced LLM models, fine-tuning, prompt engineering, performance optimization, and orchestration tools (Apache Airflow).
• Exceptional communication, with expertise communicating 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 Skills:

• Proven ability in infrastructure as code (Terraform) for scalable AI solutions, sophisticated system design, and data governance practices.
• Demonstrable experience in secure and robust AI deployments.
• Deep interest and experience in generative AI, LLM innovation, and continuous professional knowledge-building.
  
  

Benefits

• We prioritise office presence and emphasise in-person collaboration, but also offer appropriate adjustments where needed, in line with company policy
• Extra wellbeing days on top of your annual leave allowance
• Up to 3 paid volunteering days each year
• 24/7 confidential Employee Assistance Programme (wellbeing, mental health, legal & financial support)
• Learning & development support via the Frontiers Learning Hub
• Competitive local benefits country dependent (e.g. healthcare and pension/retirement provision)
  
  

Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination - including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives.