Applied AI Engineer, Digital Natives

Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies…

Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.

Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.

Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.

Are fluent in both German and English.

Can point to substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems—not only program or stakeholder management.

Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable.

Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.