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4 дня назад

Data / DevOps Engineer (AI)

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

Текст:
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TL;DR
Data / DevOps Engineer (AI) (Data Engineering/DevOps/LLM): Building and optimizing data pipelines, asynchronous REST APIs, and cloud infrastructure for real-world AI solutions with an accent on event-driven streaming, containers, and vector databases. Focus on designing agentic workflows, implementing MCP servers, deploying services with Docker and Kubernetes, and maintaining reliable CI/CD pipelines.

Location: Zagreb, Croatia (Hybrid)

Company

hirify.global delivers Data & AI solutions that turn complex data challenges into measurable business value across industries including banking, telecommunications, healthcare, retail, and technology.

What you will do

  • Build and optimize data pipelines, event-driven streaming solutions, data models, relational database designs, and efficient SQL queries.
  • Design and develop modern asynchronous REST APIs, preferably with FastAPI.
  • Work with LLM APIs, agentic workflows, MCP servers, and vector databases.
  • Containerize and deploy services with Docker and Kubernetes across cloud environments.
  • Maintain automated CI/CD pipelines, write tests, and document technical solutions.
  • Collaborate with the AI team, project teams, and Tech Lead on planning, architecture, specifications, and complex technical challenges.

Requirements

  • 3–5+ years of professional experience as a Data Engineer with hands-on DevOps/infrastructure and AI/LLM experience.
  • Strong fundamentals in data engineering, including pipelines, event-driven streaming, relational database design, data modeling, and query optimization.
  • Experience with AWS, GCP, or Azure, plus production-level Docker and Kubernetes skills.
  • Strong Python skills and experience building asynchronous REST APIs.
  • Practical experience with LLM APIs, agentic workflows, MCP servers, and vector databases.
  • Experience with Git, automated CI/CD pipelines, prototyping, and independently owning deliverables.

Nice to have

  • Experience with LangChain, LlamaIndex, or a similar LLM orchestration framework.
  • Familiarity with Terraform, Pulumi, or similar infrastructure-as-code tools.
  • Experience in a fast-paced AI-focused product or engineering team.
  • Relevant AWS, GCP, or Azure certifications.

Culture & Benefits

  • Personalized development plan, mentoring, internal courses, and a dedicated education budget.
  • Flexible hours and the option to work from home within the hybrid arrangement.
  • Paid time off, health checks, language courses, team activities, PassSport, and a referral bonus.
  • Access to modern technology and high-impact projects across multiple industries.
  • Fair and transparent salary system.

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