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7 дней назад

Lead, Full Stack AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Poland/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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