About this role

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.

Source listing: ashby_clera