Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль дает заметную ответственность за четко очерченный продуктовый модуль в Bain, включая внедрение ИИ в работающий продукт; выбор только между двумя офисами ограничивает доступность.
Только два офиса
Влияние на продукт
ИИ в продакшене
Современный стек
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead, Full Stack AI Engineer (React/TypeScript/Applied AI): Building end-to-end product features, analytical interfaces, and scenario-planning tools for an agentic decisioning platform with an accent on data-dense dashboards, real-time model outputs, and cloud-native full-stack delivery. Focus on integrating statistical and AI-generated outputs, designing reliable APIs and data transformations, and securing production applications used in live client engagements.
Location: São Paulo, Brazil, or Warsaw, Poland; onsite role.
Company
Bain & Company is a global consulting firm building an internal product platform that combines consulting expertise with applied AI and software engineering.
What you will do
Build and ship end-to-end product features for Growth AI Performance System modules, covering design handoff, API integration, production deployment, and maintenance.
Develop React and TypeScript interfaces for marketing ROI, brand strategy, pricing, commercial analytics, dashboards, allocation views, scenario comparisons, and promotional or elasticity tools.
Build real-time what-if interfaces, data-binding, state management, API contracts, data transformations, and visualizations for complex analytical outputs.
Integrate Data Scientist model outputs and AI Engineering agentic capabilities into reliable user-facing product features.
Implement CI/CD, automated testing, cloud deployment, monitoring, authentication, authorization, and secure handling of sensitive client data.
Collaborate with data, design, technology, and consulting teams; use client feedback to improve product performance, reliability, usability, and credibility.
Requirements
Strong proficiency in React and TypeScript, including complex frontend development, component architecture, and state management.
Strong server-side development experience building reliable, versioned APIs and backend services for analytical and AI-generated outputs.
Experience building data-dense analytical interfaces with dashboards, real-time scenario tools, comparison views, allocation displays, and modern visualization libraries.
Experience integrating statistical or ML model outputs and AI-generated content into user-facing product features.
Clean, testable, maintainable code; CI/CD ownership; automated testing; production debugging; and performance profiling.
Experience deploying and operating full-stack applications on Azure or AWS, including containerization and cloud-native monitoring.
Understanding of authentication, authorization, secure data handling, and DevSecOps for applications handling sensitive commercial data.
At least 5 years of full-stack software engineering experience with hands-on frontend and backend development, including production applications with data-dense analytical interfaces.
Experience working in agile, cross-functional teams with data scientists and AI engineers, plus strong troubleshooting and production issue-resolution skills.
Associate’s or bachelor’s degree in computer science, engineering, mathematics, or a related technical field, or an equivalent combination of education, training, and experience.
Nice to have
Familiarity with media spend and attribution, brand tracking and panel, or pricing and promotional data.
Experience in analytics, commercial software, consulting-adjacent, client-facing, or professional-user product environments.
Experience applying interface decisions in contexts where professional users rely on analytical outputs to make decisions.
Active use of AI-assisted coding tools such as Cursor, Claude Code, or equivalent.
Culture & Benefits
Permanent full-time employment within Bain’s Technology Solutions Group.
Startup-style ownership and influence over architecture and product direction within an established global firm.
Work on applied AI products used by major organizations and connected directly to live client engagements.
Collaborative work with technology, data science, design, engineering, and consulting specialists.
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