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# AI Developer

- **Company:** MediaMarktSaturn Technology
- **Location:** München, Germany
- **Experience:** Expert
- **Salary:** €65,000.0 - €85,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Configuration Management, DevOps, Monitoring of Systems, Tensorflow, Software Engineering, AI Infrastructure, Delivery Pipeline, Prompt Engineering, Containerization, AI Platforms, Infrastructure Automation Frameworks, Build Tools, Machine Learning Operations
- **Published:** May 13, 2026
- **Apply:** https://www.xing.com/jobs/ingolstadt-experienced-software-engineer-agent-ops-engineer-154233754

## About the Role

* Experience: 3-5+ years in Software Engineering, DevOps, or Platform Engineering with demonstrated experience in AI/ML operations and infrastructure management
 * Technical Expertise: Strong proficiency in cloud platforms (preferably GCP), containerization technologies, and Infrastructure-as-Code tools. Experience with monitoring and observability platforms is essential.
 * AI/ML Operations: Practical knowledge of MLOps practices, model monitoring, and experience working with AI/ML frameworks and deployment pipelines
 * Cost Management: Understanding of cloud cost optimization strategies and experience with FinOps practices in AI/ML environments
 * Problem-Solving: Proven ability to design monitoring solutions for complex, non-deterministic systems with focus on proactive issue detection and resolution
 * Communication: Excellent English skills with the ability to collaborate effectively in a remote team environment and translate technical concepts into actionable insights

## Description

* AI Platform Operations & Monitoring: Build and maintain comprehensive observability solutions for our AI Platform, including real-time monitoring, evaluation frameworks, and anomaly detection systems to ensure optimal performance and reliability
 * FinOps & Cost Optimization: Implement and manage cost optimization strategies and resource management practices across our AI infrastructure, ensuring efficient budget allocation and transparent cost tracking for AI workloads
 * Configuration Management: Design and maintain robust configuration management systems for prompt engineering workflows, policy configurations, and operational parameters that support scalable AI agent deployments
 * Foundation Engineering: Contribute to the core engineering efforts that establish the foundational infrastructure for our AI Platform, focusing on reliability, scalability, and operational excellence
 * Cross-functional Collaboration: Work closely with engineering teams to establish best practices for AI operations, providing guidance on monitoring strategies and cost-effective resource utilization
 * Documentation & Knowledge Sharing: Create comprehensive documentation and operational runbooks to enable team members to effectively manage and troubleshoot AI platform components


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