Fullstack AI Engineer (Senior) – IFS Logistics

Company: IFS
Apply for the Fullstack AI Engineer (Senior) – IFS Logistics
Location: London
Job Description:

Overview

In this role, you own the product surface of our transport execution platform end-to-end, shaping how freight is booked, carriers configured, and documents generated. You’ll work closely with Product Lead and Designer to set the approach and mentor engineers, blending frontend depth with fullstack capabilities. You’ll help drive an AI-native, agent-led product surface that scales across road, sea, and rail logistics. This is a hands-on leadership opportunity in a fast-moving, cross-functional squad.

Pay / Benefits

  • remote/hybrid work options
  • inclusive workplace culture
  • global team with London and Amsterdam clusters
  • opportunity to influence a globally impactful product

Responsibilities

  • Own end-to-end transport execution product surface, from booking to carrier setup and rules configuration
  • Lead frontend and product engineering, mentor engineers, and collaborate with product and design
  • Implement Django endpoints, API contracts, and data layer understanding for the UI flows
  • Support self-serve carrier setup, configuration of fulfilment rules and SKUs, and documentation generation
  • Contribute to future operational areas like consolidation, load optimisation, dock/transport scheduling, and fleet management
  • Ensure safe human-in-the-loop interfaces with guardrails and meaningful review points for freight movements
  • Drive quality through code reviews, ticket acceptance criteria, and mentoring of junior engineers

Key requirements

  • 5–8 years building and shipping production software
  • Strong depth in React, TypeScript, and complex multi-step workflows
  • Fullstack capability: Python/Django, API contracts, and client-side decision-making
  • Rigorous correctness under partial failure, validation, and retries
  • Experience with human-in-the-loop interfaces and traceability as a feature
  • Ability to mentor engineers and contribute to squad growth
  • Familiarity with AI-native approaches, LLMs, and agent contexts (Cursor/Claude)
  • Mentoring and code-review mindset
  • Ability to navigate ambiguity and define a clear product direction
  • Collaborative, cross-functional teamwork with product and design
  • React
  • TypeScript
  • Python

…

Posted: November 6th, 2026