В Airbnb чётко описана senior-роль в продуктовой разработке с современным стеком и практическими задачами в AI; важные условия для решения - работа из Бразилии и ответственность за дежурства.
?Дежурства в команде
Современный стек
Понятная зона ответственности
AI в продукте
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (AI): Building experimentation interfaces, Python APIs, data layers, and AI-assisted workflows for setting up, validating, and analyzing experiments with an accent on React/TypeScript applications, trustworthy data-rich interfaces, and end-to-end feature ownership. Focus on designing agent tools and evaluations, integrating experimentation methodology, and helping users with limited statistical training draw reliable conclusions.
Location: Brazil
Company
Airbnb operates a global marketplace for stays and experiences, serving hosts and guests across almost every country.
What you will do
Develop and own experimentation features across React/TypeScript clients, Python or GraphQL APIs, and relational databases, from design through on-call.
Work with design partners and customers to create intuitive interfaces for setting up, managing, and analyzing experiments.
Build AI-enabled workflows, including agent tools and skills for creating, validating, and analyzing experiments.
Design evaluations that maintain the quality and reliability of AI-assisted workflows.
Partner with data scientists to bring new experimentation methodology into the product.
Participate in experiment reviews to understand platform usage and identify product gaps.
Requirements
5+ years of hands-on software engineering experience, shipping high-quality production code, including full-stack web applications on a modern stack.
Strong front-end skills with React and TypeScript, including state management, data fetching, performance, and testing.
Ability to design intuitive interfaces for data-rich or enterprise tools.
Experience developing backend APIs in Python or a similar language, using GraphQL or comparable API design, and working with relational database storage.
Hands-on AI experience: building with LLMs or agent tooling such as tools, skills, and evaluations, or fluency with AI-assisted development and the ability to verify its output.
Experience working directly with customers and design partners to turn ambiguous needs into shipped, well-designed features.
Clear communication skills.
Nice to have
Experience with data visualization or data-intensive applications.
Experience with experimentation platforms.
Culture & Benefits
Work with a multidisciplinary experimentation team.
Collaborate with design, data science, engineering, and analyst partners across the company.
Contribute to an inclusive and disability-inclusive application and interview process.
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