Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает заметную самостоятельность, понятную продуктовую зону ответственности и современный стек с AI, но зарплата не раскрыта, а быстрый темп стартапа добавляет неопределенности.
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Зарплата не указанаСовременный стекПолный циклAI в продуктеТемп стартапа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Engineer (Backend Leaning, AI): Building backend services, AI agents, APIs, and review interfaces for an AI-native B2B trade platform with an accent on data correctness, distributed systems, and end-to-end product delivery. Focus on designing safeguarded agent workflows, turning unreliable supplier data into trusted commercial data, and monitoring LLM-driven processes in production.
Location: Berlin, Germany; hybrid
Salary: Competitive
Company
A fast-growing, well-funded Berlin-based startup is rebuilding B2B procurement through AI, connecting global suppliers with European customers across sourcing, pricing, sales, logistics, credit, and financing.
What you will do
Own business problems end to end, from user discovery and product definition through production delivery.
Build backend services for pricing, inventory, orders, and integrations with suppliers, customers, and logistics partners.
Build AI agents, tools, and APIs with idempotency, validation, audit trails, and human review safeguards.
Design interfaces for commercial teams to review, correct, and approve agent proposals.
Transform price lists, datasheets, and stock feeds into reliable business data; evaluate and monitor LLM workflows in production.
Lead technical decisions, document trade-offs, mentor engineers, and contribute to hiring.
Requirements
5+ years building and operating production software with real users and business consequences.
Strong production-scale backend skills in Java or a comparable language, with willingness to work with Java and Spring Boot.
Experience designing distributed, event-driven systems with strong attention to data correctness and failure modes.
Solid PostgreSQL and hands-on AWS experience.
Ability to deliver across the stack, including TypeScript and React when required.
Strong product sense, business-problem-solving ability, sound engineering judgment about LLMs and agents, and comfort in a fast-changing environment.
Nice to have
Hands-on experience building with LLMs or AI agents.
Experience in trading, marketplaces, supply chain, fintech, or another domain where data errors have significant financial impact.
Culture & Benefits
English-speaking working environment.
Learning and development budget.
AI coding tools are used to support fast product delivery.
Work in a fast-growing startup with an 80+ person organization and a strong European market presence.
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