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Andercore

AI-powered industrial materials supplier in Europe

Senior Product Engineer - Full Stack

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBerlin, GermanyNo salary listedHybrid

About the Job

Requirements

  • At least 5 years of experience building and running software in production, with real users and real consequences when it fails.
  • Strong backend skills at production scale in Java or a comparable language such as Kotlin, C#, or Go, and willingness to work in Java and Spring Boot.
  • Experience designing distributed, event-driven systems, with a focus on data correctness and failure modes.
  • Solid command of PostgreSQL and hands-on experience with AWS.
  • Backend depth and ability to deliver full-stack work by building frontends in TypeScript and React.
  • Product sense: ask why before how, talk to users, and turn a vague problem into a clear plan.
  • Experience in a fast-growing company, where priorities shift and shipping continues as the business changes.
  • A track record of solving business problems, not only technical ones.
  • Curiosity and sound engineering judgment about LLMs and agent frameworks.
  • Ability to raise the level of colleagues and push back when something does not make sense.

Responsibilities

  • Own a business problem from the first conversation through production and beyond, such as making supplier pricing reliable from ingestion to the quote sent by a salesperson.
  • Build backend services for pricing, inventory, orders, and integrations connecting suppliers, customers, and logistics partners.
  • Build AI agents and the tools and APIs they use; make their actions safe through idempotency, validation, audit trails, and human review where it matters.
  • Design and build interfaces where commercial teams work with agents by reviewing proposals, correcting mistakes, and approving decisions quickly.
  • Turn external data such as supplier price lists, datasheets, and stock feeds into trustworthy data the business can rely on.
  • Measure whether shipped work succeeds, including evaluating and monitoring LLM-driven workflows in production.
  • Lead technical decisions, document trade-offs, and mentor engineers through code review, pairing, and direct feedback.
  • Help hire by running interviews and defining what good engineering looks like at Andercore.

Desired Qualifications

  • Experience building with LLMs or agent frameworks is a strong plus.
  • Experience in trading, marketplaces, supply chain, fintech, or other domains where data errors cost money is a bonus.

About the Company

Andercore

AI-powered industrial materials supplier in Europe

Andercore is an AI-native supplier of record for industrial materials in Europe. It signs contracts, takes title, assumes credit risk, and delivers without manufacturing or operating as a marketplace. Its AI handles sourcing, quality assurance, pricing, quoting, sales, logistics, and embedded financing, delivering firm quotes in minutes with up to 60 days of payment terms; trades are pre-sold and bank-funded, making it asset-light with no warehouses or fleets. The goal is to streamline European industrial procurement by giving buyers direct access to global supply chains, reducing intermediaries, and providing reliable quotes and financing across multiple markets.

Company size
51-200
Company stage
Debt Financing
Total funding
$108M
Headquarters
Berlin, Germany
Founded
2021

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