Founding Engineer

About the Role

This is a founding engineering role at an early-stage AI startup building autonomous agents that automate complex processes for large industrial enterprises. You'll work across the full stack — from React frontends to LLM-powered backends to cloud infrastructure — and play a direct role in shaping both the product and engineering culture from the ground up.

What You'll Do

• Architect and ship end-to-end features, balancing immediate impact with long-term scalability.

• Design agentic systems that leverage LLMs for reasoning, document extraction, and enterprise process automation.

• Implement AI best practices to ensure autonomous agents operate with precision, security, and industrial-grade reliability.

• Own the complete user journey — refining frontends, architecting backend logic, and managing cloud infrastructure.

• Build mission-critical, secure, and resilient AI solutions held to the highest standards for data integrity.

• Identify and resolve critical problems outside your immediate scope, from infrastructure bottlenecks to customer friction points.

What We're Looking For

• 3+ years building full-stack applications with Python backends and React frontends in production environments.

• Practical production experience building and deploying LLM-based agentic systems or AI agents.

• Strong proficiency with Python backend frameworks: FastAPI, Pydantic, SQLAlchemy.

• Production experience with TypeScript and React for building user interfaces.

• Hands-on experience with agentic frameworks such as PydanticAI, Google ADK, or LangGraph, and prompt engineering.

• Demonstrated ability to architect and ship features across frontend, backend, and infrastructure independently.

• Comfort shipping rapidly using AI coding assistants (e.g. Cursor, Copilot, Gemini) to boost development velocity.

• Experience designing systems with high reliability, security, and data integrity requirements.

• Experience with cloud infrastructure deployment and management for production applications.

• Nice to have: LLM observability/evaluation tooling, ERP or enterprise supply chain integrations, document extraction or unstructured data processing, and fluency in German.

Location

Hybrid. Visa sponsorship is not available.