Teams at Zaimler

Build and own end-to-end product surfaces: React/TypeScript frontends, APIs, and backend services in Python/Go. Ship features, work with customers, design APIs/data models, operate cloud deployments, and iterate on production systems to make AI infrastructure legible and fast.

Build and improve NLP, retrieval, and LLM systems to extract structured knowledge from messy enterprise data. Work on prompting, fine-tuning, RAG, retrieval stacks (semantic search, vector storage, hybrid approaches), evaluation harnesses, and production pipelines. Collaborate with customers and engineers to define correctness, catch regressions, and ship robust, maintainable ML solutions.

The Cloud Infrastructure Engineer will design and build cloud infrastructure for zaimler's platform, focusing on scalability, security, and optimizations for ML/AI workloads.