AI Platform Engineer

About the role

The AI Platform Engineer will be responsible for the further development of an internal AI hub used by 1,500 employees across a portfolio of 55 software companies. This role involves bridging cloud engineering and software development to integrate new AI technologies into reliable, scalable solutions. You will work directly with C-level leadership to enhance platform functionality and infrastructure.

Responsibilities

• Develop new integrations, container images, and deployment solutions for the AI platform.
• Maintain and expand the catalog of tools, skills, agents, and integrations.
• Advance the evaluation system to measure and improve AI agent performance.
• Automate and maintain cloud infrastructure using Infrastructure as Code practices.
• Manage release cycles, including testing, technical assessment, and deployment.
• Oversee cloud components such as Application Gateway, WAF, TLS, Redis, and DNS.
• Implement security patches and maintain secure platform structures.
• Monitor system availability, deployments, and cloud costs across all instances.

Required skills

• Platform Engineering
• DevOps
• SRE
• Cloud Operations
• LLMs
• Azure
• AWS
• Infrastructure as Code
• Bicep
• Terraform
• Linux
• Docker
• Git
• CI/CD
• Python

Nice to have

• Multi-tenant cloud environments
• LLM Frameworks
• Agents
• MCP
• RAG
• Open Source
• French

Qualifications

• Minimum 2 years of experience in Platform Engineering, DevOps, SRE, or Cloud Operations
• Practical experience with LLMs and AI solutions
• Proficiency in German and English

Benefits

• Remote-first work policy
• Flexible working hours
• Modern work culture
• Direct collaboration with C-level

About the Company

The client is a fast-growing, publicly listed corporate group with a portfolio of approximately 55 software companies. These companies focus on highly specialized B2B software solutions, often within security-critical, public, or infrastructural sectors.