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Full Stack Developer (AI Lab)

66.000

Gini-Apps

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About the role

Description

A leading technology company is expanding its AI Innovation Lab and is looking for a Full Stack Developer to join a team building a brand-new enterprise platform from the ground up. This is a highly impactful role in a fast-paced environment, where engineers take ownership of architecture, drive technical initiatives, and leverage AI-assisted development to accelerate delivery while maintaining high engineering standards.

Responsibilities

  • Design and develop end-to-end features across backend and frontend using Java 21, Spring Boot, Angular (Signals), and TypeScript.
  • Build scalable, secure, multi-tenant applications while ensuring high performance and code quality.
  • Work daily with AI-assisted development tools to accelerate development, while reviewing and validating AI-generated code before production.
  • Design and implement REST APIs, contribute to database design using PostgreSQL and Flyway, and participate in system architecture and technical design discussions.
  • Collaborate closely with Product, Design, and Engineering teams, while contributing to Docker, CI/CD, and Azure DevOps development workflows.

Requirements

  • 3+ years of strong hands-on experience developing backend applications with Java and Spring Boot, alongside frontend development using Angular and TypeScript.
  • Proven experience using AI-assisted development tools such as Claude Code or GitHub Copilot as part of the daily development workflow.
  • Strong understanding of PostgreSQL, JPA/Hibernate, transactions, authentication, REST APIs, and experience working with Flyway.
  • Hands-on experience with Git, Docker, Pull Requests, and CI/CD pipelines.
  • Strong debugging, code review, and critical thinking skills, with the ability to validate AI-generated code through testing rather than relying on it blindly.
  • Excellent communication skills and the ability to translate business requirements into high-quality technical solutions.

Nice to Have:

  • Experience working with Azure services, including Container Apps, Entra ID, Key Vault, Blob Storage, Bicep, and Azure Pipelines.
  • Experience developing enterprise SaaS or multi-tenant applications.
  • Familiarity with LLMs, AI-assisted development, or AI integrations.
  • Fluent English.