Jobs / shipzero
AI Platform Engineer (f/m/d)
shipzero · Hamburg, HH, Deutschland
Hamburg, HH, DeutschlandExp: 5+ yrsHybrid
Remuneration
Not specified
Location
Hamburg, HH, Deutschland
Visa sponsorship
Not specified
Job summary
Design, build, and operate a production AI agent platform supporting multi-agent orchestration, tool integrations, context management, and agent execution. Develop evaluation, testing, observability, security, and governance capabilities, while maintaining cloud infrastructure and DevOps systems using Azure or AWS, CI/CD, Infrastructure as Code, containers, and Datadog. The platform supports AI adoption across engineering teams and contributes to measuring and reducing greenhouse gas emissions in transportation and logistics.
Benefits
Hybrid work with remote-work optionRegular team eventsLearning and professional growth opportunitiesOpportunity to contribute and implement ideasEquity
Qualifications
- At least 5 years of experience in software engineering, platform engineering, DevOps, or a related field.
- Hands-on experience building LLM-powered applications, AI agents, and multi-agent systems.
- Familiarity with agent frameworks such as Claude Agent SDK, OpenAI Agents SDK, or LangGraph.
- Experience with LLM evaluation, automated testing, observability, and production monitoring.
- Understanding of tool calling, MCP, RAG, context engineering, and agent orchestration patterns.
- Knowledge of AI security, access controls, safe execution, and human-in-the-loop workflows.
- Experience with cloud infrastructure such as Azure or AWS, CI/CD, containers, and Infrastructure as Code.
- Familiarity with information security practices, ISMS, and compliance requirements.
Responsibilities
- Design, build, and maintain an AI agent platform for multi-agent orchestration, tool integrations, context management, and agent execution.
- Develop automated evaluation, regression testing, and quality-monitoring frameworks for AI agents.
- Build observability for AI systems, including execution tracing, reliability, latency, performance, and cost optimization.
- Implement agent security and governance, including access controls, human-in-the-loop approvals, audit logging, and safe execution.
- Build and maintain infrastructure for deploying, scaling, and operating AI applications in production.
- Support cloud infrastructure, CI/CD pipelines, Infrastructure as Code, Datadog, and information security operations.
- Enable engineering teams to adopt AI through reusable tooling, best practices, and platform capabilities.
Skills
AWSAzureDatadog
Industry
Transportation and logisticsGreenhouse gas emissions reduction
Relocation
No