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5 дней назад

AI Platform DevOps Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
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
AI Platform DevOps Engineer (Azure/LLMOps): Building and operating secure cloud platforms, automation frameworks, and production capabilities for enterprise Generative AI solutions with an accent on infrastructure as code, Kubernetes, CI/CD, and AI service integration. Focus on deploying LLM, RAG, and agent-based systems, establishing observability and evaluation controls, and solving reliability, security, governance, and cost challenges at enterprise scale.

Location: Dublin, Ireland; hybrid workplace

Company

hirify.global develops consumer brands and is building enterprise capabilities for secure and responsible Generative AI adoption.

What you will do

  • Build, automate, secure, and operate cloud platforms for enterprise Generative AI solutions.
  • Develop reusable Infrastructure as Code modules, CI/CD and GitOps pipelines, secure runtime patterns, and self-service platform capabilities.
  • Support LLM, RAG, agentic AI, enterprise AI API, vector search, and retrieval platforms.
  • Establish observability, evaluation, governance, security, compliance, and traceability controls for AI applications.
  • Move AI solutions from proof of concept into reliable, scalable production services.
  • Collaborate with AI engineers, application and data teams, Security, Privacy, Risk, and Enterprise Architecture.

Requirements

  • Strong hands-on cloud engineering and DevOps experience, preferably with Microsoft Azure; AWS or GCP experience is also relevant.
  • Advanced practical experience with Terraform, Infrastructure as Code, Python, CI/CD, containers, and Kubernetes.
  • Experience operating production cloud environments and solving complex engineering challenges.
  • Practical experience deploying AI, LLM, RAG, or agent-based solutions into production.
  • Knowledge of Docker, GitOps, REST APIs, FastAPI, and CI/CD tools such as GitHub Actions, Azure DevOps, GitLab, or Jenkins.
  • Ability to influence technical direction and improve automation, reliability, and continuous delivery.

Nice to have

  • Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Experience with agent frameworks, vector databases, embeddings, retrieval pipelines, and AI evaluation or observability.
  • Exposure to multiple public cloud providers and Kubernetes platforms such as AKS, EKS, or GKE.

Culture & Benefits

  • Inclusive, values-based culture focused on professional and personal growth.
  • Competitive compensation and health and well-being programs.
  • Generous 401(k) program in the US and similar programs internationally.
  • Flexible work environment depending on the role and location.
  • Learning and development opportunities and half-day Fridays depending on location.

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