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Applied AI Engineer, Digital Natives

OpenAI· Go To Market
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Hybrid (Munich, Germany)Full-timePosted 1w ago

About the role

Applied AI Engineer role partnering with enterprise and digital native customers to design, build, and deploy AI systems that deliver measurable business outcomes. Hybrid, Munich-based with relocation assistance; 3 days in office per week.

Responsibilities

  • Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
  • 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.
  • Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
  • Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
  • Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
  • Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.

Qualifications

  • Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
  • 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.
  • Proficient in Python; comfortable 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.
  • Navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
  • Can connect technical decisions to customer workflows, adoption, and measurable business outcomes.
  • Communicate with clarity across hands-on engineers, technical leaders, security teams, product leaders, and executives.
  • Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments.
  • Learn quickly, challenge assumptions constructively, and collaborate with humility; industry or OpenAI product experience is not required.

Skills

Required:PythonGerman languageEnglish languageCode and production engineeringSystem evaluation and deploymentEnterprise/production readiness
Last updated Oct 15, 2026. Interested? Apply on the company site.

About OpenAI

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