AI Platform Engineer

apreel • Information Technology • 1 month ago
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Salary
$82k – $113k per year
Location
In office (Warsaw)
Employment
Contractor

First seen by Alion on Sep 8, 2026.

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apreel

apreel is a Warsaw-based IT services company that provides IT specialist outsourcing and software development, mainly to large corporations in banking, insurance and other financial services. Founded in April 2010 by four friends as a software house, it later made placing contract IT specialists with clients its main line of business, typically engaging consultants on B2B contracts for hybrid or remote projects. It recruits QA and test automation engineers, Java, Python and Ruby developers, MLOps and DevOps specialists, business and systems analysts, project managers and technical product owners.
apreel.com • HQ: Warsaw, Poland • IT Outsourcing & Dedicated Teams • IT Staffing & Staff Augmentation • 201-500 employees • Est. 2010

Zakres planowanych prac:

  • Rozwój i utrzymanie Platformy AI w środowisku Microsoft Azure.
  • Budowa oraz rozwój usług opartych o Azure AI Foundry.
  • Automatyzacja infrastruktury z wykorzystaniem Terraform i Infrastructure as Code.
  • Rozwój procesów CI/CD oraz automatyzacji wdrożeń.
  • Utrzymanie i rozwój środowisk Kubernetes (AKS).
  • Implementacja mechanizmów monitoringu, Observability i diagnostyki.
  • Integracja usług AI z wykorzystaniem Azure API Management.
  • Wsparcie wdrożeń rozwiązań GenAI, RAG i Agentic AI.
  • Współpraca z zespołami architektury, Cloud, bezpieczeństwa oraz Governance.


Kogo poszukujemy?

Wymagania:

  • Minimum 5 lat doświadczenia w obszarze Cloud Engineering, Platform Engineering lub DevOps.
  • Minimum 2 lata doświadczenia przy wdrożeniach AI/ML lub GenAI.
  • Doświadczenie w budowie i utrzymaniu środowisk produkcyjnych.
  • Poziom Senior lub Expert.
  • Minimum 5 lat doświadczenia w administracji i rozwoju środowisk chmurowych (preferowany Microsoft Azure).
  • Bardzo dobra znajomość Terraform oraz Infrastructure as Code.
  • Bardzo dobra znajomość CI/CD (GitHub Actions, Azure DevOps).
  • Praktyczne doświadczenie z Azure AI Foundry.
  • Praktyczne doświadczenie z Azure API Management.
  • Doświadczenie z Azure Kubernetes Service (AKS) oraz Docker.
  • Doświadczenie z Azure Monitor, Azure Log Analytics oraz Azure Application Insights.
  • Doświadczenie w budowie, utrzymaniu i monitoringu platform AI/ML.
  • Znajomość Microsoft Entra ID, zarządzania tożsamością, dostępami oraz sekretami.
  • Umiejętność pracy w kulturze Agile / DevOps.
  • Angielski komunikatywny w mowie i piśmie.

Nice to have:

  • Azure AI Search.
  • Azure Machine Learning.
  • Azure AI Foundry Agent Service.
  • RAG (Retrieval-Augmented Generation).
  • Model Context Protocol (MCP).
  • Google Vertex AI.
  • AWS Bedrock.
  • Azure Cosmos DB.
  • FinOps.
  • AI Governance.
  • DORA.
  • AI Act.
  • Certyfikaty Microsoft Azure lub Kubernetes.

Tech stack

AI, LLM, Azure, CI/CD, Azure AI Foundry, Azure AI Search

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