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About the Role
This forward-deployed engineering role is at an early-stage AI startup focused on building automation for the sea and air freight industry. You will work at the intersection of customer operations and product engineering, embedded with logistics teams to translate real workflow pain into production software. Your work will directly shape how top-tier freight forwarders operate at scale.
Responsibilities
- Partner directly with logistics and operations teams to understand workflows and translate their needs into concrete system designs.
- Build fast, AI-powered tools across the full stack using Node.js and TypeScript.
- Integrate with enterprise ecosystems including ERP, TMS, SFTP, and event queues, and construct reliable data pipelines for messy, real-world data.
- Shape product direction and technical decisions alongside the founding engineering team.
- Travel regularly to key customer accounts across Europe and Asia to maintain close relationships.
- Own outcomes end to end, from design through deployment, writing clean, production-ready code throughout.
Requirements
- 3 or more years building full-stack applications or backend systems in production environments.
- Proven experience designing and integrating with enterprise systems such as ERPs, TMSs, and external APIs.
- Hands-on experience building and maintaining backend infrastructure at scale.
- Experience building data pipelines and handling unstructured or multi-source data.
- Comfort operating in early-stage, high-autonomy environments where you own your outcomes.
- Clear, collaborative communication with both technical and non-technical stakeholders.
- Willingness to work hybrid from Berlin and travel regularly to customer sites across Europe and Asia.
- Background in logistics, supply chain, or operations is a plus but not required.
Skills
- TypeScript
- Node.js
- React or a modern frontend framework
- Cloud infrastructure tooling (Docker, Terraform, GCP, or AWS)
- GenAI or LLM architectures (RAG, evals, orchestration)
Location
- Berlin, Germany
Work Type
- Hybrid
- Full-time
Experience Level
- Mid-level