Senior AI Platform Engineer

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.

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 organisation 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:

Frontiers OS puts AI agents inside the systems Frontiers already runs: the Publishing Platform, the data warehouse, Salesforce, Microsoft 365 and replaces none of them. The bet: AI should multiply what each person can do, not just add another tool to their day. Work already happens everywhere - an inbox, a review forum, a CRM tab, a warehouse query, so the agents live everywhere too, taking the repetitive half and leaving people the half only they can do: strategy, new markets, the relationships that move science.

We're hiring a senior engineer with serious engineering depth, strong backend and infrastructure fundamentals, and solid AI fluency to help build and run Frontiers OS end to end. This is a full-stack platform role on a small team where you won't be handed a narrow backend slice and someone else's frontend, you'll move across the whole system as the problem demands, with the experience and judgment expected of a senior engineer.

Relational databases, object storage, message queues, caching, durable workflow orchestration, container orchestration, ephemereal cloud sandboxes, identity, and a cloud data warehouse, plus multi-provider LLM routing, an agent tool-calling framework, RAG and vector search, and LLM evaluation and tracing - the real stack Frontiers OS runs on today, not a hypothetical one.

• Own major areas of Frontiers OS end to end: set their architecture and technical roadmap, then build and operate them across backend, frontend, model orchestration, evals and the access surfaces (browser extension, native clients, embeddable widget, public API)
• Architect for reliability and scale: define SLOs, build observability, and take part in incident response for a platform the company depends on
• Build in security and governance from day one: permissions, credential handling, data access boundaries, audit trails and safe defaults for user-built agents
• Raise the quality bar: lead code and design reviews, write clear design docs, set patterns others follow, and help teammates grow
• Build for self-service, not for engineers: enable business users to create their own agents, skills, automations, and apps
• Use AI-assisted development as a default part of your own workflow, while knowing precisely when generated code needs deep review before it ships
• Take full accountability for what you ship, including work substantially generated by agents you built or are using
• Be the senior engineer inside the team: raise the quality bar through code and design reviews, and share what you know with teammates

• 10+ years of engineering…