AI Platform Engineer
Design, build, and maintain an AI agent platform and related infrastructure, support DevOps operations, and enable engineering teams to adopt AI technologies.
- Hamburg, Hamburg, Germany
- Full-time
- Hybrid
- Posted Nov 10, 2026
INDUSTRYSoftware & InternetSaaS & Enterprise Software
Responsibilities
- Design, build, and maintain our AI agent platform, including multi-agent orchestration, tool integrations, context management, and agent execution.
- Develop robust evaluation and testing frameworks for AI agents, including automated evals, regression testing, and quality monitoring.
- Build observability for AI systems, covering execution tracing, reliability, latency, performance, and cost optimization.
- Implement security and governance for agentic systems, including access controls, human-in-the-loop approvals, audit logging, and safe execution.
- Build and maintain the infrastructure required to deploy, scale, and operate AI applications in production.
- Support existing DevOps operations, including cloud infrastructure, CI/CD pipelines, Infrastructure as Code, Datadog, and information security.
- Enable engineering teams to adopt AI technologies through reusable tooling, best practices, and platform capabilities.
Skills
software engineeringplatform engineeringDevOpsLLM-powered applicationsAI agentsmulti-agent systemsagent frameworks such as Claude Agent SDK, OpenAI Agents SDK, or LangGraphLLM evaluationautomated testingobservabilityproduction monitoringtool callingMCPRAGcontext engineeringagent orchestration patternsAI securityaccess controlssafe executionhuman-in-the-loop workflowscloud infrastructure (Azure/AWS)CI/CDcontainersInfrastructure as Codeinformation security practicesISMScompliance requirementsClaude Agent SDKOpenAI Agents SDKLangGraphAzureAWSDatadog
Benefits
- hybrid work model with option of remote work
- modern workplace in Hamburg's Speicherstadt
- team events
- supportive team
- opportunity to learn, contribute and implement ideas
Full description
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