About Andercore

Andercore is the AI-native supplier of industrial materials and goods for energy and infrastructure. We execute trade and distribution end-to-end, on our own account, at the speed of compute - and we are becoming the supplier of record for the entire industry.

Industrial procurement is a €900B market in Europe alone and the largest manual market on earth. 95% of customers have no direct access to global supply chains. Materials pass through four or five intermediaries before they reach a site, and 40% of the margin evaporates on the way. For decades, the operating system of this industry was people: people to source, negotiate, finance, ship, and sell.

We built the alternative from scratch. We are the supplier. We buy from global sources and sell to European customers on our own account. Our AI runs the full trade: sourcing, quality, pricing, sales, logistics, credit, and financing. One request. A firm quote in minutes. Delivered on time. For the customer, it feels like buying from their preferred local supplier. No warehouses. No fleet. No inventory risk. Every trade is pre-sold before it is bought.

We are also the credit counterparty. Customers are scored and insured in minutes and get up to 60 days of payment terms priced into the quote itself. The working capital behind every trade is bank-funded, not equity-funded.

Where we are today:

Strong triple-digit-million euro turnover run rate, the majority of it from repeat customers

Seven European markets live, sourced from suppliers across Asia and beyond

80+ people across Berlin (HQ), London, and Shanghai

$90M raised in equity and debt, including our $40M Series B, from Atomico, Project A, Target Global, and Inven Capital - with working capital facilities from UniCredit and KfW

The margin is in the bits. The moat is in the atoms. We are building the supplier of record for industrial materials - and redefining how global trade works in one of the largest and most essential industries on earth.

We are looking for an experienced CTO who has built production-grade AI systems - not just shipped features on top of foundation models. You have deep architectural intuition, you've led engineering organizations through inflection points, and you understand that in a marketplace business, the quality of your decision engines is your competitive moat.

You will inherit a working platform with real transaction volume, a 20-person engineering team, and an AI architecture that needs to evolve from workflow automation into fully autonomous commercial orchestration. Your mandate is to take a system that works and make it defensible, scalable, and increasingly self-improving.

What You Will Own

1. Agentic AI Architecture

This is the core of the role. You will evolve our existing agent layer from assisted automation into a multi-agent system capable of making binding commercial decisions across pricing, procurement, logistics, and financing — without human handoff.

Concretely, this means:

Designing a modular, event-driven multi-agent framework where agents have well-defined scopes, shared memory, and coordinated execution - not a monolithic "AI layer" pasted onto a backend.

Moving beyond prompt-chained LLM workflows toward tool-augmented, stateful agents that reason over real-time market data, inventory positions, credit exposure, and logistics constraints simultaneously.

Architecting feedback loops: agents that learn from trade outcomes, pricing performance, and fulfillment results to continuously update their decision logic - blending reinforcement signals with structured fine-tuning where appropriate.

Building the observability and evaluation infrastructure that makes agent behavior auditable, debuggable, and improvable.

Ensuring the architecture is model-agnostic - the system must not be structurally dependent on any single foundation model provider.

2. AI-native Fintech integration

Embedded working capital is central to our business model. The AI system must not just understand trade flows - it must reason about the capital that moves alongside them.