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 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.
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.