Fullstack AI Engineer (Staff) - IFS Logistics

About IFS Logistics

IFS Logistics (built and launched as 7bridges, now part of IFS) is an AI-native enterprise logistics platform. We unify transport data, optimise carrier spend, and automate execution for enterprise shippers and logistics companies. We are a small, dedicated product and engineering team inside IFS, reporting into the commercial organisation rather than central R&D. Pure SaaS, zero consultancy: if a customer needs us to operate the software for them, we have failed.

The role

This is not a traditional "add AI to an existing system" role. You will set the technical direction for our Experience squad — the layer where the whole platform meets the customer: SSO and identity, IFS Intelligence integration, the demo environment, and the cross-product surface that ties Data Connect, TPAO, Shipper TMS and Revenue Protect into one product.

The squad does not exist yet. You will help build it, set its architecture and standards, and be accountable for what it ships. You stay hands-on — this is not a management-only role. You are the squad's technical voice to the VP Product and Chief Architect.

Your depth is backend and platform. Every engineer here is expected to be genuinely fullstack; the profile describes where your depth is, not a boundary you stay inside. You will review React as readily as Django.

What you'll work on

• API v3 and the service boundaries that let four product areas share one identity, permission and navigation model without a shared mess.
• SSO, tenancy and permissions done once, properly — "all data visible by default, restricted only by exception".
• A demo environment that is a real product surface, not a fixture — commercially load-bearing and used every week.
• IFS Intelligence and IFS Cloud integration, including the embedding path opened up by Project Oliver.
• Where the agent sits in each new surface, and the guardrails, observability and cost controls that make agentic behaviour safe to ship.

What we're looking for

• Around eight years or more building and running production software, with real depth in Python/Django REST API design, data modelling and service reliability.
• You have set technical direction for a team: chosen the approach, written it down, defended it, and changed it when you were wrong.
• Strong on performance, cost and observability. You have owned the pager as well as the design doc.
• Genuinely fullstack — comfortable in React and able to raise the bar on frontend work you do not write yourself.
• You raise other people's standards. Review, pairing and honest feedback are things you do by default.
• AI-native in practice: you build with Cursor and Claude daily, you know how to give an agent the right context, and you can tell when its output is wrong.