Чётко описанная senior-роль в ведущей AI-компании: практическая работа над промышленными внедрениями и возможность влиять на развитие продукта.
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На переднем крае ИИАктуальный стекПонятная зона ответственностиПомощь с переездом
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer (AI/Python): Designing, building, and deploying AI systems for enterprise customers with an accent on production engineering, systematic evaluation, and reliable integrations. Focus on solving complex implementation challenges, optimizing model behavior, latency, cost, safety, security, and governance, and scaling systems from prototypes to sustained production adoption.
Location: Sydney, Australia; 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 developing general-purpose artificial intelligence products with a focus on safe, reliable, and beneficial deployment.
What you will do
Partner with enterprise 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.
Build evaluation harnesses, reference implementations, integrations, production accelerators, reusable architectures, tooling, playbooks, and technical guidance.
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 drive blockers toward resolution.
Collaborate with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams while translating deployment experience into product feedback.
Requirements
Demonstrated experience designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering, beyond program or stakeholder management.
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 such as 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, and end-to-end ownership in ambiguous environments.
Ability to learn quickly, challenge assumptions constructively, and collaborate with humility.
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 model with 3 days per week in the office.
Relocation assistance for new employees.
Work on consequential real-world AI deployments and influence how OpenAI products evolve.
Commitment to safe AI development, human needs, diverse perspectives, equal opportunity, and reasonable accommodations.
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