Senior AI Platform Engineer [K/M]
Tech Stack / Keywords
Firma i stanowisko
Fabrity S.A. is a dynamically developing technology company specializing in software engineering, generative artificial intelligence, and industrial Internet of Things (IoT). It creates comprehensive solutions to help enterprises automate processes, increase operational efficiency, and make key decisions through effective data analysis. The company works with leading platforms such as ServiceNow and Microsoft Power Platform, as well as its proprietary low-code product Fastive. Fabrity serves clients across various industries including pharmaceutical, healthcare, financial services, manufacturing, automotive, and retail, partnering with well-known brands like ABB, Bayer, Carrefour, PKO BP, Dormakaba, Sanofi, Toyota Bank, Frontex, Liebherr, Pepsico, and Saint-Gobain.
Wymagania
- Minimum 5 years of experience in Cloud Engineering, Platform Engineering, or DevOps.
- At least 2 years of experience with AI/ML projects, GenAI, or AI platforms.
- Strong knowledge of Microsoft Azure.
- Practical experience with Azure AI Foundry.
- Experience with Azure API Management.
- Proficient in Terraform and Infrastructure as Code (IaC).
- Strong knowledge of CI/CD using Azure DevOps and GitHub Actions.
- Experience with Azure Kubernetes Service (AKS) and Docker.
- Experience with Azure Monitor, Azure Log Analytics, and Azure Application Insights.
- Experience building, maintaining, and monitoring AI/ML platforms.
- Knowledge of Microsoft Entra ID and identity/access management.
- Experience working in Agile and DevOps environments.
Nice to have:
- Experience with Azure AI Search.
- Experience with Azure Machine Learning.
- Experience with Azure AI Foundry Agent Service.
- Knowledge of RAG (Retrieval-Augmented Generation).
- Familiarity with Model Context Protocol (MCP).
- Experience with Google Vertex AI.
- Experience with AWS Bedrock.
- Knowledge of Azure Cosmos DB.
- Familiarity with FinOps.
- Knowledge of AI Governance.
- Familiarity with DORA Metrics.
- Understanding of AI Act regulations.
- Microsoft Azure or Kubernetes certifications.
Obowiązki
- Develop and maintain the AI Platform in the Microsoft Azure environment.
- Design and develop services based on Azure AI Foundry.
- Automate infrastructure using Terraform and Infrastructure as Code (IaC) principles.
- Develop and maintain CI/CD processes and deployment automation.
- Administer and support Kubernetes (AKS) environments.
- Implement monitoring, observability, and diagnostics for AI environments.
- Integrate AI services utilizing Azure API Management.
- Support deployments of GenAI, RAG, and Agentic AI solutions.
- Manage identity, access, and secrets within the Azure environment.
- Collaborate with architecture, cloud, security, and governance teams.
- Ensure stability, scalability, and security of AI/ML platforms.
Benefity
- Benefits provided within a cafeteria system.
- Cooperation based on a B2B contract.
- Ability to work in a hybrid model (1 day per week at the client's office in Warsaw).
- Engagement in a project that has a real impact on the client's business development direction.
Inne informacje
Klauzula informacyjna dotycząca przetwarzania danych osobowych przez Fabrity Spółka Akcyjna oraz Fabrity Commerce sp. z o.o., w tym informacje o prawach kandydatów, okresach przechowywania danych oraz kontakt do Inspektora Ochrony Danych Osobowych. Podanie danych jest dobrowolne, lecz konieczne do przeprowadzenia procesu rekrutacji lub realizacji umowy.
Fabrity S.A.
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