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6 дней назад

AI Engineer (AIOps)

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

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TL;DR
AI Engineer (AIOps): Designing AI architecture and intelligent RAG agents for mission-critical operations with an accent on dependency modeling, data pipelines, governance, security, and enterprise integrations. Focus on building what-if simulations, enforcing human-controlled automation, tracing agent actions, and translating technical failures into business impact.

Location: Madrid, Spain

Company

hirify.global operates and modernizes mission-critical technology systems for large businesses, combining infrastructure expertise with AI-powered insights and enterprise technology services.

What you will do

  • Define AI architecture for critical operations and AIOps use cases.
  • Design service-to-infrastructure dependency models using graphs and Petri nets.
  • Build data pipelines for impact analysis and what-if simulations.
  • Design RAG-based intelligent agents using tickets, metrics, logs, and CMDB data, including retrieval and evidence-citation rules.
  • Establish guardrails, command allowlists, action traceability, audit policies, and human oversight for automation.
  • Design integrations with ITSM/BMC, Dynatrace, ELK, and Ansible while translating technical failures into business impact.

Requirements

  • Professional experience as a software engineer on complex software projects.
  • Strong coding and debugging skills with Java, Python, .NET, or comparable technologies.
  • Experience developing scalable and robust software using established development methodologies.
  • Knowledge of relational and NoSQL databases, data mapping, XML/JSON, and REST-based web services.
  • Understanding of microservices architecture, Docker, Kubernetes, messaging queues, object-oriented programming, and design patterns.
  • Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.

Nice to have

  • Certification in Azure, AWS, or Google Cloud.
  • Experience with DevOps tools and modern engineering practices.

Culture & Benefits

  • Flexible, supportive, and hybrid-friendly work culture.
  • Well-being programs supporting financial, mental, physical, and social health.
  • Personalized career development goals, continuous feedback, coaching, and hands-on learning.
  • Access to certification and learning opportunities from Microsoft, Google, and Amazon.
  • Inclusive culture centered on empathy, belonging, continuous learning, and shared success.

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