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 industrial enterprise customers. You will architect and ship features 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 the engineering culture.

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 high standards for data integrity. Identify and fix 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. Hands-on production experience building and deploying LLM-based agentic systems or AI agents. Strong proficiency with Python backend frameworks: FastAPI, Pydantic, and SQLAlchemy.

Production experience with TypeScript and React for building user interfaces. Practical experience with agentic frameworks such as PydanticAI, Google ADK, or LangGraph, and prompt engineering. Experience designing and shipping mission-critical systems with high reliability and data integrity requirements.

Comfort using AI coding assistants (such as Cursor, Copilot, or Gemini) to ship features rapidly. Experience with cloud infrastructure deployment and management for production applications. Experience with LLM observability, evaluation, or monitoring tools is a plus.

Experience integrating with ERP platforms or enterprise supply chain software is a plus. German language fluency is a strong plus given the core industrial customer base. Location This role is based in Berlin, Germany.

The team works from the Berlin office five days per week. Visa sponsorship is not available.

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 architect and ship features 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 the engineering culture.

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 high standards for data integrity.
• Identify and fix 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.

• Hands-on production experience building and deploying LLM-based agentic systems or AI agents.
• Strong proficiency with Python backend frameworks: FastAPI, Pydantic, and SQLAlchemy.
• Production experience with TypeScript and React for building user interfaces.
• Practical experience with agentic frameworks such as PydanticAI, Google ADK, or LangGraph, and prompt engineering.
• Experience designing and shipping mission-critical systems with high reliability and data integrity requirements.
• Comfort using AI coding assistants (such as Cursor, Copilot, or Gemini) to ship features rapidly.
• Experience with cloud infrastructure deployment and management for production applications.
• Experience with LLM observability, evaluation, or monitoring tools is a plus.
• Experience integrating with ERP platforms or enterprise supply chain software is a plus.
• German language fluency is a strong plus given the core industrial customer base. LOCATION This role is based in Berlin, Germany. The team works from the Berlin office five days per week. Visa sponsorship is not available.