Forward Deployed Engineer

United States Digital Space LLC; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Equity

Competitive salary

On-site in Berlin

Zusammenfassung

The company AI in Berlin is seeking an engineer to build AI agents for real factories. You will work directly with industrial engineers and managers to scope problems, design solutions, and ship production-ready software that operators trust.

This is a hands-on, on-site role with fast learning, autonomous teams, and a close feedback loop to influence the platform roadmap through customer sites and real industrial data.

Qualifikationen

• Willingness to learn matters more than title. Open to diverse backgrounds.
• Energised by hard, complex problems and fast-changing environments.
• Enjoy working directly with customers and translating ambiguous problems into shipped software.
• Take ownership from first customer conversation to production.

Aufgaben

• Build AI agents for real factories, with LLM-powered features and agent workflows.
• Own customer projects end-to-end, from scope to production delivery.
• Get on-site at factories to observe and integrate real industrial data.
• Ship across the stack: backend, data pipelines, frontend as needed.
• Shape the product by feeding customer learnings into the roadmap.

Kenntnisse

Learning mindset

Problem solving

Customer interaction

Ownership

Tools

React

LLMs

ETL

Jobbeschreibung

Practicalities

• Berlin-based, on-site. We work together in person.
• Working language is English. Other languages are a plus, not a requirement.

About the company AI

We bring cutting-edge AI to the physical world. We operate on the factory floor, which means that you will see your software run on real machines, in real industrial plants. If you want to build AI products that change how the world runs, you will love it here.

Recognised as a leading industrial AI company globally by Gartner and Forbes. Backed by Kleiner Perkins and Norrsken, the investors behind Google, Amazon and Anthropic. Our founders have led engineering teams of up to 2,500 people, launched more than 50 internet companies, and built apps used by over a 100 million people.

Life At the company AI

We are a small team taking on a massive challenge. Heavy industry accounts for a huge share of global emissions and runs on workflows unchanged in decades. We are building the agents to change that.

We move fast, work face-to-face, and care about outcomes, not optics. This is not for everyone. If you want to work alone with predictable sprints, this will not fit. If you want to ship every day, raise the bar, and never stop learning, it will.

We are a team of people from different backgrounds and identities. We act like owners. We think full-stack. We co-design with our customers. We care for quality and design. We believe a job is done when it’s done well. We are optimists.

What you get

• Close proximity to founders. Work face-to-face with founders who have done this before. You will learn faster here than anywhere else.
• Real influence on strategy. As one of our first engineers, you will shape product direction. Best idea wins, regardless of seniority.
• Low bureaucracy. Lean, autonomous teams. Decisions get made in hours, not weeks. Rapid experimentation is the default.
• Career compounding. As we are a fast growing, seed-stage company, your scope and responsibility grow with the company.
• Meaningful equity and competitive salary. You are one of the first to build this, and you share in the upside.

About The Role

• Build AI agents for real factories. You will build agents that plant operators trust. That means LLM-powered features and agent workflows operating on industrial data.
• Own customer projects end-to-end. You will work directly with industrial engineers and managers to turn their hardest problems into production software. Scope, design and ship, in small teams with real autonomy.
• Get on-site. Cement kilns, chemical reactors, paper machines. You get to see physical AI in places most engineers never get to. Typically, our FDEs travel to the sites they are working on every 1-2 months.
• Ship across the stack. Backend, data pipelines, frontend, whatever the customer problem needs.
• Shape the product. What you learn at customer sites feeds straight into the platform roadmap.

About You

What we look for

• Willingness to learn matters more than title. You do not need to be a senior software engineer. We are open to candidates from other quantitative disciplines, who are keen to learn.
• Energised by hard, complex problems, comfortable making calls with incomplete information, and at home in fast-changing environments.
• You would enjoy working directly with customers and translating ambiguous problems into shipped software.
• You take ownership. You see problems through, from the first customer conversation to running code in production.

Nice to have

• Hands-on experience with LLMs and agent frameworks
• Background in ML, simulation, or optimization
• Solid React skills and care about polished product UX
• Experience with messy industrial data: ETL, time-series, OT systems
• Prior exposure to manufacturing, process industries, or operational technology