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About the Role
This is a founding engineering role at an early-stage AI startup building autonomous agents that automate complex processes for industrial enterprises. You will own the full stack, from React frontends to cloud infrastructure to LLM-powered backends, and directly shape both the product and the 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 as needed.
- Build mission-critical, secure, and resilient AI solutions held to the highest standards for data integrity and security.
- Identify and fix critical problems outside your immediate scope, from infrastructure bottlenecks to customer friction points.
Requirements
- 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.
- Proficiency with Python backend frameworks such as FastAPI, Pydantic, and SQLAlchemy.
- Strong TypeScript and React skills for building intuitive interfaces for complex workflows.
- Hands-on experience with agentic frameworks such as PydanticAI, Google ADK, LangGraph, or equivalent, plus solid prompt engineering fundamentals.
- Experience designing and shipping mission-critical systems with high reliability, security, and data integrity requirements.
- A pragmatic, ship-first mindset with comfort using AI coding assistants to accelerate development velocity.
- Experience with cloud infrastructure deployment and management for production applications.
- Familiarity 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.
Skills
- Python
- React
- TypeScript
- FastAPI
- Pydantic
- SQLAlchemy
- PydanticAI
- Google ADK
- LangGraph
- Prompt Engineering
- Cloud Infrastructure
- LLM Observability
- LLM Evaluation
- LLM Monitoring
- ERP Integration
- Enterprise Supply Chain Software
Location
- Berlin, Germany
Work Type
- Onsite
Experience Level
- 3+ years
About the Company
- Early-stage AI startup building autonomous agents that automate complex processes for industrial enterprises.