Fullstack AI engineer for 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're a small, dedicated team inside IFS, reporting into the commercial organisation rather than central R&D. Pure SaaS, zero consultancy.

• The audit review queue at real scale — tens of thousands of findings per tenant, filtered, triaged, actioned and evidenced.
• Self-serve check configuration: customers building, previewing and versioning their own audit checks. "Customers configure and manage it, not IFS" is a product principle, not an aspiration.
• Explainability for incorrect-charge detection — why this charge was flagged, against which rate card, at which version — reproducible months later for a dispute.
• The Django endpoints, data contracts and pagination behaviour behind all of it.
• Where the agent sits in each of these flows: agentic audit creation, human review at minimal, meaningful points, and the guardrails that make that safe against a customer's freight spend.

• Around five to eight years building and shipping production software, with real depth in React, TypeScript, state and interaction design at scale.
• You have owned a product surface end to end including the ambiguity in it — you closed the open questions rather than waiting for someone to close them for you.
• Genuinely fullstack: you write the Python/Django side, you argue about the API contract, and you know when a client-side answer is the wrong answer.
• Strong on performance and scale in the interface: pagination, virtualisation, server-side filtering, and knowing which of those the data volume actually demands.
• You build human-in-the-loop and explainability interfaces and treat auditability as a feature, not logging.
• You raise the bar on other people's work. Review, pairing and direct feedback are things you do by default, and you are happy mentoring an engineer earlier in their career.
• AI-native in practice: Cursor and Claude daily, good at giving an agent the right context, better at spotting when its output is confidently wrong.
• You form and state a view. Ambiguity is the job, not a blocker.
• You'll need to be based in either the UK or the Netherlands - we're a remote team with clusters of people in London and Amsterdam.
• Будет плюсом: Design-system ownership, or working shoulder to shoulder with a designer on a complex data surface; Django REST, BigQuery, dbt, Cube Cloud, GCP; LLM agents, RAG or evals in production; Shipped an agent that does real work, like agentic audit or fulfilment-rule automation, and the instinct to build a simulation to prove the logic first; Logistics, supply chain, freight, or any finance-adjacent domain where being wrong costs money

• We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.