- Location
- Hamburg, Hamburg
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Engineering
- Experience
- 5+ years
- Source
- Personio
Description
About us
As a young company based in Hamburg’s beautiful Speicherstadt, we are on a mission to transform the transportation and logistics industry. We provide our customers with an innovative data platform to measure and reduce their greenhouse gas emissions and are passionate about minimizing the industry’s environmental impact and shaping a sustainable future.
Since our founding in 2018, our team has grown continuously, and we have big plans ahead. Therefore, we are looking for motivated colleagues who want to change the world together with us. Be inspired and become part of our team!
Your mission
- 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.
Your skills
- 5+ years of experience in software engineering, platform engineering, DevOps, or related fields.
- 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 (Azure/AWS), CI/CD, containers, and Infrastructure as Code.
- Familiarity with information security practices, ISMS, and compliance requirements.
What we offer you
- #purpose - together we create a sustainable future
- #team - an innovative, international, and growing start-up environment, a friendly and open team atmosphere, and regular team events
- #personalgrowth - a challenging role, a supportive team, and the opportunity to learn, contribute and implement your ideas
- #flexibility - a hybrid work model with the option of remote work and a modern workplace in Hamburg's Speicherstadt
We are looking forward to receiving your detailed application including your possible starting date and your salary expectations.