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Senior Backend Engineer (AI)

Формат работы
remote (только Croatia)/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, AI-assisted development, security, and observability. Focus on integrating LLMs and agent frameworks, designing microservices and event-driven services, and building guardrails and evaluation tooling for production-grade AI-generated code.

Location: Croatia; hybrid work from the Rijeka or Zagreb locations for employment contracts. Remote work and flexible working hours are also offered.

Company

hirify.global delivers consulting services through AI-driven solutions and technology-enabled platforms.

What you will do

  • Design, implement, and operate backend architecture for AI-augmented consulting and internal agent platforms.
  • Make decisions on microservices, containers, serverless systems, and cloud services across AWS and Azure.
  • Integrate open-source backend frameworks, LLM providers, vector stores, orchestration frameworks, and retrieval pipelines.
  • Build AI-assisted development guardrails, evaluation harnesses, security checks, and policy controls.
  • Implement security, compliance, observability, logging, tracing, metrics, and alerting for production systems.
  • Collaborate with product, DevOps, frontend, AI, data science, and consulting teams while mentoring engineers across multiple countries.

Requirements

  • 5+ years of experience building and operating large-scale backend systems in AWS and/or Azure 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.
  • Familiarity with Docker, Kubernetes, Infrastructure as Code, relational and NoSQL databases, and CI/CD pipelines.
  • Daily hands-on use of AI-assisted developer tools, including coding agents, AI code review, and AI-driven test generation.
  • Experience integrating LLMs, machine learning models, agent frameworks, and evaluation tooling into backend services.

Nice to have

  • Production experience with both AWS and Azure.
  • Knowledge of SOC 2, ISO 27001, and GDPR requirements.
  • Experience in consulting or professional services environments.
  • Experience working in distributed teams across multiple time zones.

Culture & Benefits

  • Individually tailored benefits package, performance bonus, and competitive compensation.
  • Employee stock options grant and employee share purchase plan.
  • Flexible working hours, remote work, multi-sport card, and full medical checkup.
  • Learning and development budget with growth opportunities.
  • Referral and anniversary bonuses, plus work on large client projects using cutting-edge technologies.

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