Forward Deployed Engineer

Clera Berlin, Germany Publicerat 11 september 2026
full_timehybrid
ABOUT THE ROLE This is a customer-embedded engineering role at an early-stage AI startup building purpose-built automation tools for the sea and air freight industry. You will sit at the intersection of logistics operations and product engineering, translating real customer workflows into reliable, production-grade systems. The role carries significant ownership and directly shapes both the product and the company's trajectory. WHAT YOU'LL DO - Partner directly with logistics teams to understand operational workflows and translate their needs into system and product design. - Build AI-powered full-stack tools using Node.js and TypeScript across a live production environment. - Integrate with enterprise ecosystems including ERP systems, transport management systems, SFTP, and event queues. - Construct reliable data pipelines to handle messy, unstructured, real-world data from multiple sources. - Contribute to product direction and technical decisions alongside a small founding engineering team. - Travel regularly to key customer sites across Europe and Asia to maintain close working relationships. - Own outcomes end-to-end, from system design through deployment and iteration. WHAT WE'RE LOOKING FOR - 3 or more years of experience building full-stack applications or backend systems in production environments. - Strong proficiency in TypeScript and Node.js; React or another modern frontend framework is a plus. - Proven experience designing and integrating with enterprise systems such as ERPs, TMSs, and external APIs. - Hands-on experience with cloud infrastructure tools such as Docker, Terraform, GCP, or AWS. - Experience building and scaling backend infrastructure and handling data pipelines from disparate sources. - Comfort working directly with end-users and non-technical stakeholders to gather requirements and validate solutions. - Ability and willingness to work hybrid from Berlin and travel regularly to customer sites in Europe and Asia. - Familiarity with GenAI or LLM architectures, such as RAG, evals, or orchestration, is a bonus. - Background in logistics, supply chain, or operations domains is a plus. - Thrives in early-stage, high-autonomy environments with a bias toward shipping quickly and iterating. LOCATION Berlin, Germany. Hybrid working arrangement, with regular travel to customer sites across Europe and Asia.

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