Fullstack AI engineer for logistics

IFS; United States; Hybrid; USD 150,000 - 210,000; Full time

Job summary

IFS Logistics ищет опытногоFull‑stack инженера для разработки аудиторной платформы в рамках AI-native SaaS решения. Ваша задача — развивать UI на React/TypeScript, писать часть серверной логики на Python/Django и проектировать устойчивые API, обеспечивая объяснимость и аудит в больших данных.

Кандидат будет работать в гибридном формате в глобальной команде, ориентированной на масштабируемые решения, совместную работу и наставничество коллег.

Qualifications

• 5–8 лет опыта разработки и выпуска ПО на продакшн-уровне.
• Глубокие знания React, TypeScript и дизайн интерфейсов на масштабе.
• Умение писать Python/Django и проектировать API.
• Опыт оптимизации производительности и масштабируемости UI.
• Опыт наставничества и код-ревью.

Responsibilities

• Обрабатывать очередь аудита на реальной масштабе: сотни тысяч находок наTenant.
• Настраивать самосервисные проверки: клиенты строят, просматривают и версионируют проверки.
• Обеспечивать объяснимость детектирования некорректных расходов и логику вывода результатов.
• Работать с Django-эндпоинтами, контрактами API и пагинацией; обеспечивать аудит и валидность.
• Сопровождать команду, менторить инженеров на ранних стадиях карьеры.

Skills

React

TypeScript

Python/Django

API design

Performance optimization

Mentoring

Tools

Django REST

BigQuery

dbt

Cube Cloud

GCP

Job description

Описание

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.

Задачи

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.

Требования

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

Условия

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.