Fullstack AI engineer in logistics

IFS; United States; Hybrid; USD 140,000 - 210,000; Full time

Job summary

IFS Logistics ищет специалиста с глубокой экспертизой в Python/Django REST и полном стекe, работающего с React во фронтенде. Ваша роль — вести техническое направление, обеспечивать производительность, observability и безопасность данных в многоарендной SaaS-системе для логистики.

Требуется опыт работы с LLM-оркестрацией, Cobra и продвинутой архитектурой сервисов в GCP, Kubernetes и Terraform. Гибридный формат с локациями в Лондоне и Амстердаме, удаленная работа и международное взаимодействие

Qualifications

• Одна и более ролей в разработке production-софта с техническим руководством.

Responsibilities

• Разработка API v3 и границ сервиса для нескольких доменов, с SSO и управлением доступом.
• Обеспечение окружения для демонстраций и продакшн нагрузок, включая интеграцию с IFS Intelligence и IFS Cloud.
• Обеспечение высокой производительности, стоимости и наблюдаемости, поддержка pager и дизайн-доков.
• Руководство командой и взаимодействие с фронтендом на React; улучшение качества UI/UX.

Skills

Python/Django REST

Data modelling

Performance/observability

Fullstack React

LLM orchestration

Sprint/leadership

Ambiguity management

Tools

BigQuery

dbt

Pub/Sub

GCP

Kubernetes

Terraform

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 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.

Задачи

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.

Требования

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. You form and state a view. Ambiguity is the job, not a blocker.

• Будет плюсом: Multi-tenant enterprise SaaS, SSO/identity, or ERP integration experience
• LLM agent orchestration, RAG or evals in production
• Shipped agents into a product for real work, like agentic audit or agent-managed fulfilment rules, with a view on where an agent earns its place and where it does not
• Simulation or scenario modelling: synthetic data or replay used to prove out logic before it ships
• BigQuery, dbt, Pub/Sub, GCP, Kubernetes, Terraform
• Logistics, supply chain or freight

Условия

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. 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.