Founding Engineer

Job description

### About the Role This is a founding engineering role at an early-stage AI startup building autonomous agents that automate complex processes for industrial enterprise customers. You will own the full stack, from React frontends to cloud infrastructure to LLM-powered backends, and your contributions will directly shape both the product and the 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 use 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 as needed. - 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 or more 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 in Python with frameworks such as FastAPI, Pydantic, and SQLAlchemy. - Production experience with TypeScript and React for building intuitive interfaces for complex workflows. - Hands-on experience with agentic frameworks such as PydanticAI, Google ADK, LangGraph, or equivalent, plus prompt engineering. - Experience designing and shipping mission-critical systems with high reliability, security, and data integrity requirements. - Comfort using AI coding assistants (such as Cursor, Copilot, or Gemini) to move fast and ship confidently. - Experience with cloud infrastructure deployment and management for production applications. - Bonus: experience with LLM observability or evaluation tools, ERP or enterprise supply chain integrations, document extraction or unstructured data processing, or fluency in German. ### Location Hybrid, based in Berlin, Germany. Visa sponsorship is not available.