Senior AI I Fullstack (Java I Angular) Developer

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior AI | Fullstack (Java | Angular) Developer based in Brazil.

Overview

Join a forward-thinking technology environment where artificial intelligence, advanced software engineering, and intelligent automation are transforming the software development lifecycle. In this senior role, you will lead the integration of AI-powered tools and intelligent agents into engineering workflows, helping teams deliver high-quality solutions faster and more efficiently. You will combine strong Java and Spring expertise with AI orchestration, context engineering, and Spec-Driven Development practices. Working with multidisciplinary teams in the financial services sector, you will help establish technical standards, governance frameworks, and architectural best practices. You will also promote reliable AI-generated code through automated testing, code reviews, and continuous integration. This is an opportunity to shape next-generation engineering practices and drive meaningful innovation in a collaborative, continuously evolving environment.

• Lead the technical orchestration of AI tools and intelligent agents throughout the software development lifecycle, improving engineering productivity and delivery quality.

• Implement and maintain technical specifications and contextual guidance for agent-driven execution using Spec-Driven Development (SDD).

• Establish engineering governance practices and quality standards for AI-generated code, defining guardrails to minimize technical inaccuracies and unreliable outputs.

• Explore, implement, and optimize agentic development tools and workflows, including GitHub Copilot, Skills, Model Context Protocol (MCP) integrations, prompt engineering, and context engineering.

• Guide engineering teams in applying 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 that AI-enabled solutions meet standards for maintainability, reliability, security, and scalability.

Requirements

• 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.

• Excellent analytical and problem-solving skills, with the ability to assess AI-generated code and identify technical risks.

• Strong communication and collaboration skills, with the ability to influence technical decisions and work effectively across multidisciplinary teams.

• Adaptability and a continuous improvement mindset, particularly in dynamic environments focused on innovation and emerging technologies.

Nice to have:

• Experience with additional programming languages such as Python or Node.js.

• Familiarity with front-end development frameworks, particularly Angular.

• Knowledge of event-driven architecture (EDA) and Infrastructure as Code tools such as Terraform or Bicep.

• Experience designing context architectures, including Retrieval-Augmented Generation (RAG), local knowledge bases, and specification files such as agents.md.

Benefits

• Health and dental insurance.

• Meal and food allowances.

• Childcare assistance.

• Extended parental leave.

• Access to gyms and health and wellness professionals through Wellhub and TotalPass partnerships.

• Profit-sharing program (PLR).

• Life insurance.

• Continuous learning opportunities through a dedicated corporate learning platform.

• Employee discount programs.

• Free online resources focused on physical health, mental health, and overall well-being.

• Courses supporting pregnancy and responsible parenting.

• Partnerships with online learning platforms.

• Access to language-learning resources.

• Additional benefits and professional development opportunities.