Founding Engineer

Role Summary

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.

Responsibilities

• 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.

Requirements

• 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 .
• Hybrid. Visa sponsorship is not available.