Clera
See how well you match this role
Upload your résumé — we'll score your fit and check off the skills you already have. Free.
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
Sourced from Himalayas. Confirm the details and apply on the employer's site.
