AI Platform Engineer

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DATAGROUP

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1983

💼 Conseil

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

DATAGROUP est une entreprise allemande de services informatiques et d'externalisation qui fournit aux entreprises des services gérés en informatique, cloud, SAP, gestion d'applications et de données, réseaux, sécurité et services de travail. Elle propose des solutions d'externalisation informatique modulaires CORBOX, du conseil en informatique, de l'automatisation, des logiciels spécifiques à l'industrie et un support de centre de services, avec des centres de données certifiés ISO et un accent sur la cybersécurité et la conformité, principalement pour des clients B2B et des entreprises.

Description

• Develop and operate a sovereign LLM platform, including an OpenAI-compatible gateway, model serving, and GPU infrastructure • Implement customer-specific knowledge integrations (RAG) with vector databases, embeddings, and re-ranking • Ensure cost control, tenant isolation, data protection, and guardrails • Establish monitoring and observability for performance, quality, and usage of AI services • Further develop the container-based platform built on Docker, Coolify, and Kubernetes • Automate deployments and take ownership of CI/CD processes • Manage Linux, cloud, and database infrastructure and ensure stability, security, and availability • Build and enhance monitoring, logging, and alerting solutions • Actively shape the architecture of platform and AI services • Establish Infrastructure as Code and standardized deployment processes • Ensure privacy-compliant and tenant-secure operating models • Document solutions, enable knowledge transfer within the team, and evaluate new technologies in platform engineering and AI

🎯 Exigences

• Degree in (business) computer science or a comparable qualification • Several years of experience in DevOps, platform engineering, or cloud/infrastructure roles • Solid hands-on experience operating container-based applications and modern platforms • Experience building and running LLM and AI services in production, ideally in self-hosted environments • Very good knowledge of Kubernetes, Docker, and Linux • Experience with CI/CD pipelines, cloud platforms (especially Azure), and PostgreSQL • Practical experience with LLM gateways, RAG architectures, vector databases, and model-serving solutions • Strong Python skills for automation and integrations • Independent and structured working style with high personal responsibility and a strong security and data-protection mindset • Strong architecture and platform understanding

🏖️ Avantages

• Open and cooperative company culture • Trust-based working atmosphere • Comprehensive onboarding with support from the entire AIS team • Flat hierarchies, short decision-making paths, and a high degree of freedom to shape your role • Strategic position with significant influence on the future platform landscape • Modern infrastructure with Kubernetes, Docker, CI/CD, and cloud technologies • Individual training budget for conferences, certifications, and specialist courses • Clear career and development paths • Opportunity to specialize as an AI Platform Engineer or LLMOps expert • Small, focused, and agile team • Open feedback culture with regular 1:1s and retrospectives