AI Platform Engineer

Frontiers Careers; Lausanne; Vor Ort; CHF 150.000 - 190.000; Vollzeit

Benefits dieser Stelle

Office presence emphasized

Wellbeing days

Volunteering days

Employee Assistance Programme

Learning & development

Local benefits

Zusammenfassung

FrontiersOS places AI agents inside the systems Frontiers already runs — the Publishing Platform, data warehouse, Salesforce, and Microsoft 365 — and replaces none of them. The bet is that AI multiplies what people can do, not just adds another tool to their day.

This senior platform engineer role is full‑stack and cross‑functional: architecture, backend, frontend, model orchestration, and governance. You’ll own rough edges end‑to‑end and shape how editors, researchers, and publishing ops

Qualifikationen

• 6+ years of engineering experience with production AI/LLM delivery.
• Strong fundamentals in system design and architecture; produce clean, well-structured code.

Aufgaben

• Design, build, and operate FrontiersOS end to end — architecture, backend, frontend, model orchestration, evals, and access surfaces.
• Build for self-service: empower editors, analysts, and marketers to assemble agents and automations.
• Architect for reliability and scale; platform underpins critical production workflows across the company.
• Build auditing and evaluation layers for agents and other agentic systems.
• Use AI-assisted development as a default in your workflow with careful review when needed.

Kenntnisse

System design

AI fluency

Cross-team communication

Ownership

Jobbeschreibung

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.

The Innovation team designs, engineers, and runs FrontiersOS end to end, wired directly into real business problems across editorial, research integrity, and publishing operations. We’re hiring a senior engineer with serious engineering depth and strong AI fluency — someone who can design and build the systems that make agentic work possible at Frontiers, not just consume an LLM API and call it done.

This is a full-stack platform role on a small team: 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.

What you’ll work with

Multi-provider LLM routing, an agent tool-calling framework, retrieval-augmented generation and vector search, LLM evaluation and tracing, durable workflow orchestration, message queues, caching, ephemereral cloud sandboxes, container orchestration, a relational database, object storage, identity, and a cloud data warehouse — the real stack FrontiersOS runs on today, not a hypothetical one.

Key Responsabilities

• Design, build, and operate FrontiersOS end to end — architecture, backend, frontend, model orchestration, evals, and the access surfaces (browser extension, native clients, embeddable widget, public API) people actually use it through, not just the agent/skill core.
• Build for self-service, not for engineers: editors, analysts, and marketers assemble their own agents, skills, automations, and apps with no engineering queue to wait in — your job is the paved paths, guardrails, and product judgment that make that safe and usable for people who don't write code.
• Architect for reliability and scale: this platform underpins critical production workflows across the company.
• Build the auditing and evaluation layer for agents and other agentic systems.
• 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.

Requirements

• 6+ years of engineering experience, including 1-2 years of proven production AI/LLM delivery.
• Strong engineering fundamentals: solid system design and architecture skills, writing code that’s simple and well-structured, and sound software design principles. You’re the one accountable for reviewing and standing behind what gets shipped.
• 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.
• Strong, demonstrated AI fluency: hands-on building with LLM APIs, agent frameworks, and AI coding tools — not familiarity, usage.
• Experience with evaluation methodology for AI/agentic systems — you can define and measure what “good” looks like.
• Comfortable owning ambiguous, cross-cutting problems with no fixed roadmap, with the senior-level judgment to set technical direction 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 — a GitHub repo, a side project, or a portfolio.
• Fast learner of unfamiliar business domains: no publishing background required, but expected to become fluent enough in editorial and research-integrity workflows to make sound platform calls.
• 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.

Nice to have

• Prior experience building internal developer platforms
• Experience with closed-loop AI engineering and continuous feedback-driven improvement.

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.