2 дня назад
Fullstack Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fullstack Engineer (AI) (TypeScript/Node.js): Building AI-powered full-stack automation tools for sea and air freight with an accent on enterprise integrations, production systems, and messy operational data. Focus on designing reliable data pipelines, integrating ERP and transport management systems, and translating customer workflows into scalable product solutions.
Location: Hybrid from Berlin, Germany, with regular travel to customer sites across Europe and Asia
Company
is an early-stage AI startup building purpose-built automation tools for the sea and air freight industry.
What you will do
- Partner with logistics teams to understand operational workflows and translate requirements into system and product designs.
- Build AI-powered full-stack tools using TypeScript and Node.js in a live production environment.
- Integrate with enterprise systems, including ERP platforms, transport management systems, SFTP, event queues, and external APIs.
- Build reliable data pipelines for messy, unstructured data from multiple sources.
- Contribute to product direction and technical decisions alongside the founding engineering team.
- Own outcomes end-to-end from system design through deployment and iteration, including regular customer-site travel.
Requirements
- 3+ years of experience building full-stack applications or backend systems in production.
- Strong proficiency in TypeScript and Node.js.
- Experience designing and integrating enterprise systems such as ERPs, TMSs, and external APIs.
- Hands-on experience with Docker, Terraform, GCP, AWS, or similar cloud infrastructure tools.
- Experience building and scaling backend infrastructure and data pipelines from disparate sources.
- Ability and willingness to work hybrid from Berlin and travel regularly to customer sites across Europe and Asia.
Nice to have
- Experience with React or another modern frontend framework.
- Familiarity with GenAI or LLM architectures, including RAG, evaluations, or orchestration.
- Background in logistics, supply chain, or operations.
- Experience working in early-stage, high-autonomy environments.
Culture & Benefits
- High ownership across system design, deployment, and iteration.
- Direct collaboration with customers and non-technical stakeholders.
- Opportunity to shape product direction and technical decisions at an early-stage startup.
- Regular travel to customer sites across Europe and Asia.
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