Founding Engineer (Applied AI)

Faction; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A tech-driven company in Germany is seeking a high-trajectory, 10x Software Engineer to develop autonomous AI agents for industrial distribution. The ideal candidate has 1-3 years of full-stack and ML engineering experience, strong Python and TypeScript skills, and is comfortable integrating with complex enterprise systems. This role involves a mix of engineering duties aimed at automating sales and supply chain processes.

Qualifikationen

• 1-3 years of experience in full-stack and ML engineering.
• Strong background in Python and TypeScript programming.
• Comfortable building and shipping autonomous AI agents.

Aufgaben

• Build and ship autonomous AI agents that process orders.
• Integrate with enterprise systems like ERPs and CRMs.
• Write backend services for inventory optimization.

Kenntnisse

Python

TypeScript

Full-stack engineering

Machine Learning

Integration with enterprise systems

Jobbeschreibung

We're looking for a high-trajectory, 10x SWE to help build the AI agents that will automate $2T of industrial distribution. Our AI agents don’t have users – you don't upend an industry's business model with human-in-the-loop copilots. You'll work directly with the founders to build autonomous systems for the sales and supply chain of $Xbn+ customers.

We need someone with 1-3 years of experience in full-stack and ML engineering who has a strong background in Python and TypeScript programming. You should be comfortable building and shipping autonomous AI agents and integrating with messy enterprise systems. Bonus points if you have experience as a founding engineer at an early-stage startup or come from a quantitative finance background.

What You'll Do:

• Build and ship autonomous AI agents that process orders, generate quotes, and make inventory decisions without human intervention.

• Integrate with messy enterprise systems — ERPs, CRMs, inboxes, and phone systems that distributors actually use.

• Write high-performance backend services that handle inventory optimization algorithms, complex pricing logic, and more.

• Work on a 50/50 split of typical full-stack engineering and ML engineering work, including data processing (average dataset ~1 million rows), working with LLMs, agents, tool calls, and fine-tuning.