4 дня назад
Data / DevOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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