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About The Company
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.
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 company is backed by top-tier investors as well as global institutional banking partners, having recently closed its $40m series B - Atomico, Project A, and Invent Capital with institutional backing from Commerzbank and KfW.
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.
What You Will Do
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.
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 company is backed by top-tier investors as well as global institutional banking partners, having recently closed its $40m series B - Atomico, Project A, and Invent Capital with institutional backing from Commerzbank and KfW.
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.
What You Will Do
- 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.
- 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.
Key Skills
Ranked by relevance
ai
spring boot
python
java
aws
typescript
postgresql
terraform
embedded
cloud
cicd
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- Posted
- May 22, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Berlin
- Company
- Andercore
Industries
International Trade
Development
Categories
Engineering
Information Technology
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