Backend Engineer (AI Agents/Workflows)

• Design, develop, test, deploy, and maintain backend services that integrate AI/ML capabilities into our products.
• Build clean, maintainable, and reusable code with a focus on scalability and performance.
• Develop and optimize APIs that power AI-driven features.
• Collaborate with frontend engineers to connect user-facing experiences with AI-enabled backend logic.
• Implement and improve distributed systems and data pipelines.
• Work with LLM APIs (OpenAI, etc.) to build intelligent workflows and automation.
• Participate in code reviews, knowledge-sharing sessions, and architecture discussions.
• Stay current with emerging AI technologies and backend best practices.

Do you have experience in TypeScript?, Do you have a Master's degree?, * Experience Level: 3-5 years as a backend or full-stack engineer, with exposure to AI/ML integrations.

• Solid programming skills in Java (Spring Boot) and familiarity with Python for data processing or AI integration.
• Experience with relational databases (PostgreSQL or BigQuery) and writing efficient queries.
• Comfortable working with cloud infrastructure (AWS preferred) and CI/CD tooling.
• Understanding of distributed systems, event-driven architecture, and microservices.
• Interest or experience in building AI-enabled products (e.g., working with OpenAI API, fine-tuning models, or prompt engineering).
• Strong communicator who can explain technical ideas to both technical and non-technical stakeholders.
• Proactive, collaborative, and eager to contribute ideas and improvements.

The AI-driven trade platform transforming industrial supply in infrastructure, energy, and construction materials. It connects vetted suppliers across Asia, Europe, and the GCC region with local demand through a single integrated platform. Its proprietary AI stack digitizes and automates the full lifecycle of materials trade - from procurement and pricing to inventory, logistics, and embedded financing - replacing thousands of manual, relationship-driven processes with real-time orchestration. Buyers gain instant quotes, reliable availability, and predictable delivery through a unified operating system. Suppliers benefit from accurate forecasting, disciplined demand management, and seamless integration into cross-border fulfillment networks. The company partners with leading brands to run both dropship and cross-dock fulfillment motions for large-scale transactions, turning global supply chains into predictable, repeatable, software-like workflows. Backed by top-tier investors and institutional financing partners, the company has scaled to triple-digit-million GMV, operates across six international markets, and is rapidly expanding toward profitability. With a team of 80+ people across Berlin (HQ) and Asia, it is building the world's first industrial-grade AI operating system for materials - redefining how global trade works in one of the world's largest and most essential industries. The Tech team will allow you to work alongside a group of highly ambitious and knowledgeable Engineers, while being faced with complex problems and being exposed to commercial. The Tech Stack: Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), AWS, GitHub Actions, Node.js, Java 21 (Spring Boot 3), Postgres, Kinesis, Terraform, Typescript, NextJS, React.