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Java AI-Native Full Stack Engineer (AI)

150 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Java AI-Native Full Stack Engineer (Java, Spring Boot, React, AWS, AI): Building secure, scalable cloud-native frontend and backend applications with an accent on full-stack development, enterprise integrations, and AI-assisted engineering. Focus on designing REST APIs and microservices, implementing accessible interfaces, automating testing and delivery, and improving production reliability.

Location: USA

Salary: USD 150,000–180,000 per year

Company

hirify.global.

What you will do

  • Develop and maintain frontend and backend platform capabilities.
  • Build secure, scalable, cloud-native applications and support integration with enterprise systems and services.
  • Participate in architecture discussions, design reviews, code reviews, and production support.
  • Use AI-native development practices to improve productivity, delivery speed, and quality.
  • Create automated test coverage and technical documentation.
  • Contribute to monitoring, troubleshooting, and continuous improvement while collaborating with product, architecture, security, and platform teams.

Requirements

  • Strong full-stack engineering experience building cloud-native applications with Java, Spring Boot, React, TypeScript, Next.js, and Node.js.
  • Hands-on experience designing and developing REST APIs, microservices, and responsive, accessible user interfaces.
  • Solid knowledge of SQL and NoSQL databases, including PostgreSQL and MongoDB.
  • Experience with AWS services, Docker, CI/CD pipelines, GitHub Actions, and Infrastructure as Code; Terraform is preferred.
  • Strong understanding of OAuth/OIDC, JWT authentication, secure coding practices, API integrations, and enterprise integration patterns.
  • Daily use of AI development tools such as GitHub Copilot, Cursor, Claude Code, or equivalent tools in the software delivery workflow.
  • Experience with AI-assisted coding, testing, debugging, documentation, and prompt engineering.

Nice to have

  • Experience in LMS, EdTech, AI-powered products, skills assessment platforms, simulation-based learning, or enterprise SaaS solutions.

Culture & Benefits

  • Work includes collaboration with product, architecture, security, and platform teams.
  • AI-assisted engineering practices are used throughout the software development lifecycle.
  • The role includes production support, monitoring, troubleshooting, and continuous improvement of engineering practices.

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