Senior AI Platform Engineer

Who we are

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:

https://www.youtube.com/watch?v=jLJ7ZO3wOW4

About the Role:

FrontiersOS 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 FrontiersOS 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.

What you'll work with:

Relational databases, object storage, message queues, caching, durable workflow orchestration, container orchestration, ephemeral 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 FrontiersOS runs on today, not a hypothetical one.

Key Responsabilities:

• Own major areas of FrontiersOS 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

Requirements

• 10+ years of engineering experience
• Strong engineering fundamentals, including backend and infrastructure: solid system design skills, writing code that's simple and well-structured, following sound software design principles
• Systems thinking: you reason about how a change ripples across agents, workflows, permissions, and downstream consumers of the platform, not just the module you're editing
• Works with AI every day: AI coding agents are part of how you plan, build and debug, and you have the judgement to know when their output needs a closer look.
• Comfortable owning ambiguous, cross-cutting problems with no fixed roadmap, with the senior-level judgment to contribute to technical decisions and push back on the wrong ask
• A proficient cross-department communicator: able to explain a hard technical concept plainly to a non-technical audience, clearly enough to earn their buy-in
• A curious builder at heart, genuinely AI-native, reaching for it as a default way of working, with real proof of what you've built, whether that's a GitHub repo, a side project, or a portfolio
• Fast learner of unfamiliar business domains: no publishing background required, but expected to become fluent
• Strong stakeholder management: can be the platform’s face to multiple business teams at once (Strategy, editorial, research integrity, and others), translating technical trade-offs into terms stakeholders can act on and vague asks into scoped problems.
• Genuine curiosity about where the business needs leverage, not just where AI is technically interesting

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)