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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.
Our Supply Chain & Logistics domain sits at the core of what we build — handling real-time data flows, complex routing logic, and integrations with a fragmented ecosystem of providers. You will help shape the systems that make operations predictable and scalable for our customers.
Tech Stack: Java 21 (Spring Boot 3), Python, PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript.
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.
Our Supply Chain & Logistics domain sits at the core of what we build — handling real-time data flows, complex routing logic, and integrations with a fragmented ecosystem of providers. You will help shape the systems that make operations predictable and scalable for our customers.
Tech Stack: Java 21 (Spring Boot 3), Python, PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript.
What you will do
- Design and build backend services that power supply chain workflows — from order management to LSP integrations and real-time tracking.
- Develop event-driven pipelines that process high-throughput logistics data reliably and at scale.
- Build and maintain integrations with third-party logistics providers, ERPs, and warehouse management systems.
- Own and evolve the data models that represent complex supply chain entities: shipments, inventory positions, fulfillment nodes.
- Identify performance bottlenecks and lead the engineering effort to resolve them in production systems.
- Work with LLM APIs (OpenAI, Anthropic, Gemini) to build intelligent workflows and automation.
- Collaborate closely with Product and domain experts to translate operational complexity into clean technical solutions.
- Contribute to architecture decisions and raise the engineering bar through rigorous code reviews and documentation.
- 5-7+ years of experience in backend engineering, ideally within logistics, supply chain, or operations-intensive domains.
- Strong command of Java (Spring Boot) or equivalent JVM-based frameworks; Python a strong plus.
- Experience designing systems that handle real-time data ingestion and processing (Kafka, Kinesis, or similar).
- Comfortable with relational databases (PostgreSQL) and modeling complex, interrelated business domains.
- Pragmatic approach to distributed systems — you understand trade-offs around consistency, availability, and latency.
- Exposure to third-party API integrations and the messiness that comes with legacy and external systems.
- Intellectually curious, detail-oriented, and motivated by shipping things that work reliably in the real world.
Key Skills
Ranked by relevance
ai
spring boot
postgresql
python
java
terraform
embedded
kafka
aws
jvm
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- Posted
- May 25, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Berlin
- Company
- Andercore
Industries
International Trade
Development
Categories
Engineering
Information Technology
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