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Nexcade ищет инженера/лидера продукта для создания лучших в своем классе решений в цепочке поставок и фрахтовке. Вы будете работать как дизайн-партнёр с клиентами, превращая требования в конкурентные продукты и поднимая планку возможностей нашего ИИ.
Ваша роль охватывает архитектуру и платформу, обеспечивая масштабируемость и объяснимость. Вы будете отвечать за ядро времени выполнения тысяч агентов и рабочих процессов, обеспечивая их взаимодействие и доступ.
People assume the supply chain is an automated, algorithmic system. It is not. It is a large number of people acting as the glue between organisations and systems, doing work the world depends on with tools that have barely changed in decades. Nexcade builds AI agents for those people, starting in freight forwarding, a $210BN industry.
You build best in class products for the core jobs in freight forwarding, one job at a time. You work as a design partner with our customers to understand the work deeply, turn that understanding into a product they would choose over anything else, and feed what you learn back into the platform everyone builds on. You raise the ceiling on what our AI can do and the floor on how reliably it does it. That spans high volume tasks like classification and extraction and deep workflow tasks that run for hours. You design for performance, reliability, explainability and control, set up the gyms and evals to measure them, and build the harness that runs our agents in all of our products. You own the foundation every product stands on: the runtime for thousands of concurrent agents and workflows, the way they communicate and scale, the controls for how they access data with permissions that hold, and the observability to see and measure all of it. You ensure the rest of the team can move fast without fear.
In person, 4+ days a week in London. We value synchronous communication. You will shape the product, the architecture and the company, working alongside an engineering team from Palantir, Raft, Faculty, UnlikelyAI and Oxford. You will work directly with the businesses using what you build, on AI applied to an industry that has resisted software for decades. You will get meaningful equity, so when this works you share in it.