> Markdown version of [/jobs/ext/4700899-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/4700899-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Forward Deployed Engineer

- **Company:** Andercore
- **Location:** Berlin, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Spreadsheets, Python (Programming Language), SQL Databases, Data Streaming, TypeScript, Large Language Models, Agentic-AI
- **Published:** November 13, 2026
- **Apply:** https://startup.jobs/forward-deployed-engineer-andercore-10765761

## About the Role

* 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.

## Description

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., * 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