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15 часов назад

Senior Backend Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Croatia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Backend Engineer (AI): Building and operating scalable backend infrastructure for an AI-driven consulting and internal agent platform with an accent on cloud-native architecture, microservices, serverless systems, and secure AI-assisted development. Focus on integrating LLMs and agent frameworks, implementing observability and security guardrails, and scaling reliable services across AWS and Azure.

Location: Hybrid work from Rijeka or Zagreb, Croatia; flexible hours and remote work are also available.

Company

hirify.global develops AI-driven solutions and technology-enabled consulting platforms for global clients.

What you will do

  • Design, implement, and operate backend architecture for AI-augmented consulting and agent platforms.
  • Make decisions on microservices, containerization, serverless architecture, and cloud services across AWS and Azure.
  • Build integrations with LLM providers, vector stores, orchestration frameworks, and retrieval pipelines.
  • Establish AI-assisted development guardrails, evaluation harnesses, security checks, and engineering metrics.
  • Implement authentication, authorization, secrets management, data protection, and compliance controls.
  • Maintain observability, diagnose performance bottlenecks, support production reliability, and mentor engineers.

Requirements

  • 5+ years of experience building and operating large-scale backend systems in cloud environments.
  • Strong proficiency in Python and/or a major backend language or framework such as FastAPI, Django, Java/Spring Boot, or Node.js.
  • Experience with microservices, RESTful APIs, event-driven and serverless architectures.
  • Knowledge of Docker, Kubernetes, Infrastructure as Code, relational and NoSQL databases, and CI/CD pipelines.
  • Daily hands-on use of AI-assisted developer tools and experience reviewing AI-generated code rigorously.
  • Experience integrating LLMs, machine learning models, agent frameworks, and evaluation tooling into backend services.

Nice to have

  • Production experience with both AWS and Azure.
  • Familiarity with SOC 2, ISO 27001, and GDPR compliance standards.
  • Consulting or professional services experience.
  • Experience working in distributed teams across multiple time zones.

Culture & Benefits

  • Flexible working hours and remote work options within the hybrid arrangement.
  • Individually tailored benefits package, performance bonus, equity grant, and employee share purchase plan.
  • Medical checkup and multi-sport card.
  • Learning and development budget with growth opportunities.
  • Referral and anniversary bonuses.

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