Fullstack AI Engineer (Senior) - IFS Logistics
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Job Description
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're a small, dedicated team inside IFS, reporting into the commercial organisation rather than central R&D.; Pure SaaS, zero consultancy.
The role
This is not a traditional "add AI to an existing system" role. You will own the product surface of our audit product end to end — the checks that tell a customer a delivery was late or a carrier charged them incorrectly, the queue where those findings get reviewed and actioned, and the self-serve configuration that lets a customer build their own checks without us.
Audit & Visibility is becoming a standalone product. A staff engineer leads the squad and brings the backend depth; you bring the product surface. You will set the approach for it, partner directly with the squad's Product Lead on product, and be the second technical voice in the squad. You are also the day-to-day mentor for the Junior engineer joining alongside you — that is part of the job, not an extra.
Your depth is frontend and product engineering. Every engineer here is expected to be genuinely fullstack; the profile describes where your depth is, not a boundary you stay inside. You will write Django, design the API contract you consume, and reason about what BigQuery and dbt are doing underneath your screens.
What you'll work on
• 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.
Requirements
Department: Research and Development
Function: Information Technology
Experience Level: Mid-Senior Level