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Forward Deployed Engineer

πŸ•’ 2 days ago
PythonTypeScriptLLMsAgent Frameworks
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πŸ“œ Description

  • Work alongside commercial and operations teams to map workflows and identify costly manual steps.
  • Build and ship AI agents, automations, internal tools, and data flows, taking first versions to production quickly.
  • Improve agent reliability with evaluations, guardrails, human review, monitoring, and fixes.
  • Turn successful solutions into reusable skills, knowledge bases, and components.
  • Measure impact through time saved, error rates, speed, and margin, and share findings with the product roadmap.
  • Bridge business and engineering teams by translating needs and documenting decisions and trade-offs.

πŸ› οΈ Requirements

  • At least 3 years of experience building and shipping software, ideally in Python or TypeScript.
  • Hands-on experience building with LLMs or agent frameworks, and good judgment about where they work and where they don't.
  • You enjoy working with non-technical colleagues: you ask good questions, listen, and explain things simply.
  • Product sense: you turn a vague problem into a clear first version and improve it with real feedback.
  • Solid data skills, including SQL, and comfort with messy real-world data such as emails, PDFs and spreadsheets.
  • Speed with judgment: you ship quickly and know when something needs to be done properly.
  • Experience in a startup or scale-up. Interest in trade, supply chain or B2B commerce is a plus.
  • Fluent English. German is a plus.
Full job description

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.

Build where the work happens

As a Forward Deployed Engineer, you work side by side with the people who run our trade: sales, procurement, logistics, finance and customer success. You find where time and money go into manual work, and you build the agents, automations and tools that take it over.

Much of Andercore's daily work still happens in calls, emails, spreadsheets and PDFs. Our AI agents already schedule deliveries and request freight quotes; there is much more to do. You sit with the teams, understand their work in detail, ship a first version in days, and make it reliable enough that they trust it with real orders.

You work closely with our product engineers and the CPO. What works for one team, you turn into reusable skills and components the whole company can use, and you help our colleagues build with AI themselves.

What you will do

  • Embed with the business: Spend real time with our commercial and operations teams and map how the work actually gets done. Find the steps that cost the most time, money or mistakes.

  • Build and ship fast: Build agents, automations, internal tools and data flows, with a first version in days, not months. Bring what works into production together with our product engineers.

  • Make agents reliable: Add evaluations, guardrails and human review where money or customers are involved. Monitor what you shipped and fix what breaks.

  • Scale what works: Turn one-off solutions into reusable skills, knowledge bases and components. Help colleagues build with AI themselves.

  • Close the loop: Measure impact: hours saved, error rates, speed and margin. Feed what you learn into the product roadmap.

  • Be the bridge: Translate between the business and engineering. Write down decisions and trade-offs so others can build on them.

What success looks like

  • Clear, measured time savings in the teams you work with

  • Agents our colleagues trust with real orders

  • Reusable skills and tools adopted across the company

  • Business teams who build small automations themselves

  • The best ideas from the field turned into product work

  • Fewer errors in the steps you automated

What you bring

  • At least 3 years of experience building and shipping software, ideally in Python or TypeScript.

  • Hands-on experience building with LLMs or agent frameworks, and good judgment about where they work and where they don't.

  • You enjoy working with non-technical colleagues: you ask good questions, listen, and explain things simply.

  • Product sense: you turn a vague problem into a clear first version and improve it with real feedback.

  • Solid data skills, including SQL, and comfort with messy real-world data such as emails, PDFs and spreadsheets.

  • Speed with judgment: you ship quickly and know when something needs to be done properly.

  • Experience in a startup or scale-up. Interest in trade, supply chain or B2B commerce is a plus.

  • Fluent English. German is a plus.

We are an equal-opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.

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