Senior AI Fullstack (Java, Angular) Developer

JobgetherFinancial services

Based in BrazilFull-TimeSenior

Salary not disclosed

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Job Details

Strong professional experience in software engineering using Java 17 or later and the Spring ecosystem, including Spring Boot and Spring Cloud.
Practical experience applying artificial intelligence to software engineering workflows and developing or orchestrating intelligent agents.
Solid knowledge of Spec-Driven Development (SDD), context engineering, and prompt orchestration techniques.
Hands-on experience with GitHub Copilot, Skills, and MCP integrations.
Knowledge of microservices architecture, messaging systems such as Kafka or RabbitMQ, and cloud platforms such as Microsoft Azure or AWS.
Experience with unit testing, code quality practices, and CI/CD pipelines using tools such as GitLab, Jenkins, SonarQube, and Jira.
Strong understanding of software architecture, development standards, and engineering governance.
Ability to assess AI-generated code and identify technical risks.
Experience with Python or Node.js is a plus.
Familiarity with front-end development frameworks, particularly Angular, is a plus.
Knowledge of event-driven architecture and Infrastructure as Code tools such as Terraform or Bicep is a plus.
Experience designing context architectures, including RAG, local knowledge bases, and specification files such as agents.md, is a plus.

Lead the technical orchestration of AI tools and intelligent agents throughout the software development lifecycle.
Implement and maintain technical specifications and contextual guidance for agent-driven execution using Spec-Driven Development.
Establish engineering governance practices and quality standards for AI-generated code.
Explore, implement, and optimize agentic development tools and workflows, including GitHub Copilot, Skills, MCP integrations, prompt engineering, and context engineering.
Guide engineering teams in unit testing, automated testing, code reviews, code quality controls, and observability practices.
Contribute to the design and evolution of software architectures involving Java, Spring, microservices, messaging systems, and AI-enabled capabilities.
Collaborate with stakeholders and multidisciplinary teams to evaluate technical challenges and align architectural decisions with business and functional requirements.
Identify opportunities to automate repetitive engineering tasks and improve development workflows through AI-assisted practices.
Promote continuous improvement, technical knowledge sharing, and responsible adoption of AI technologies across development teams.
Help ensure AI-enabled solutions meet standards for maintainability, reliability, security, and scalability.

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