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В Company hidden чётко описана senior-позиция в разработке масштабируемых сервисов для биллинга и контроля расходов на ИИ. Техническая значимость высокая, но стоит учитывать дежурства и широкий набор технологий.
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ДежурстваСовременный стекФокус на ИИПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Backend Engineer (Go/Node.js) (AI Cost Management): Design and build scalable microservices and APIs for usage metering, billing, invoicing, analytics, and AI token-cost management with an accent on real-time processing, distributed systems, and data integrity. Focus on architecting services that process millions of events per second, optimizing databases, integrating billing providers, and maintaining highly available production systems.
Location: Hungary; hybrid work.
Company
hirify.global builds an AI connectivity platform for securing, managing, governing, and monetizing API and AI traffic across models and cloud environments.
What you will do
Design, implement, and maintain microservices and APIs for usage metering, billing, invoicing, and analytics at scale.
Build AI Cost Management capabilities for tracking, attributing, and controlling LLM token usage and spend, including budgets and usage limits.
Architect real-time backend systems processing millions of events per second.
Define system requirements with Product and Engineering and deliver customer-focused solutions.
Optimize database performance and maintain data integrity, reliability, and security across distributed systems.
Integrate third-party services such as Stripe and CRMs, support production services through monitoring, troubleshooting, on-call rotation, DevOps, CI/CD, cloud-native development, and automated testing.
Requirements
5+ years of professional software development experience.
Experience with Go and Node.js.
Proven experience building scalable backend services and delivering and maintaining production systems at scale.
Solid understanding of distributed systems, APIs, and database optimization.
Familiarity with cloud-native technologies such as Kubernetes and Docker.
Exposure to big data systems such as ClickHouse, streaming platforms such as Kafka, and event-driven architectures.
Contributions to open source projects.
Excellent verbal and written communication skills.
Nice to have
Familiarity with LLM APIs, token-based pricing, or AI gateway and observability tooling.
Experience working on developer-focused products.
Culture & Benefits
Hybrid work arrangement in Hungary.
Collaboration with Product and Engineering on customer-focused solutions.
Participation in on-call rotation to support highly available production services.
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