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.

About the role

Andercore runs global trade end to end, from sourcing and pricing to sales, logistics and financing, and much of that work is done by AI agents. Agents are only as good as the product around them: reliable data, well-designed APIs, and interfaces where our team can review, correct and approve what an agent proposes before real money and real shipments move.

As a Senior Product Engineer, you own business problems end to end. You talk to the people who use what you build, decide with Product what to solve, and ship the whole slice: data model, services, AI agents and the user interface. You work in a domain where prices and stock change daily, supplier data arrives in every possible format, and a wrong number costs money. You set the quality bar for the team and make the engineers around you better.

Tech stack

Java 21 and Spring Boot 3, Python, LangGraph and LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS with Terraform, GitHub Actions, and TypeScript with Node.js, Next.js and React. You don't need to know all of it on day one. We use AI coding tools heavily and expect you to pick up whatever part of the stack the problem needs.

What you will do

Own a business problem from first conversation to production and beyond, for example making supplier pricing reliable from ingestion all the way to the quote a salesperson sends.

Build backend services for pricing, inventory, orders and the integrations that connect suppliers, customers and logistics partners.

Build our AI agents and the tools and APIs they use, and make their actions safe through idempotency, validation, audit trails and human review where it matters.

Design and build the interfaces where our commercial teams work with agents: reviewing proposals, correcting mistakes and approving decisions quickly.

Turn messy external data such as supplier price lists, datasheets and stock feeds into trustworthy data the rest of the business relies on.

Measure whether what you shipped works, including evaluating and monitoring LLM-driven workflows in production.