Start Date
Immediate
Expiry Date
18 Dec, 26
Salary
90000.0
Posted On
19 Sep, 26
Experience
12 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Information Technology & Services
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.
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, ephemeral 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.
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.
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, ephemeral 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.
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