OpenAI предлагает четко очерченную senior-роль на переднем крае ИИ с практической работой над production-системами и влиянием на продукты, но без указанной зарплаты сложнее оценить условия.
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Зарплата не указанаПонятные задачиАктуальные технологииНа переднем крае ИИПомощь с переездом
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Applied AI Engineer (AI/Python): Designing, building, and deploying production AI systems for enterprise and digital-native customers with an accent on evaluation, reliability, security, governance, and measurable business outcomes. Focus on taking systems from use-case selection and prototyping through production launch, diagnosing complex integrations, and creating reusable architectures and tooling.
Location: Munich, Germany; hybrid work model with 3 days in the office per week. Relocation assistance is offered to new employees.
Company
OpenAI is an AI research and deployment company building and safely deploying general-purpose artificial intelligence products.
What you will do
Partner 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, prototype, evaluate, and deploy AI systems that solve customer problems and deliver measurable business outcomes.
Write and debug code for evaluation harnesses, reference implementations, integrations, and production accelerators.
Make 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 guide customers from prototypes to reliable production systems and sustained adoption.
Collaborate with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams to create reusable architectures, tooling, playbooks, and technical guidance.
Requirements
Demonstrated experience designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
Fluency in both German and English.
Substantial personal contributions to code, architecture, evaluation, debugging, or engineering of production systems.
High proficiency in Python and comfort working across an AI application stack.
Ability to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
Experience navigating enterprise production requirements including integrations, reliability, observability, security, privacy, data governance, performance, and cost.
Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
Clear and credible communication with hands-on engineers, technical leaders, security teams, product leaders, and executives.
High agency, strong technical judgment, end-to-end ownership in ambiguous environments, rapid learning, constructive challenge, and humble collaboration.
Nice to have
Experience with JavaScript, TypeScript, or another relevant programming language.
Experience in a particular industry or with OpenAI products is not required.
Culture & Benefits
Hybrid work arrangement based in Munich with 3 office days per week.
Relocation assistance for new employees.
Work on consequential real-world AI deployments at the frontier of the technology.
Commitment to safe AI development, human needs, inclusion, equal opportunity, and reasonable accommodations.
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