Senior AI I Fullstack (Java I Angular) Developer
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Skills
About the role
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.
Accountabilities
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Lead the technical orchestration of AI tools and intelligent agents throughout the software development lifecycle, improving engineering productivity and delivery quality.
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Implement and maintain technical specifications and contextual guidance for agent-driven execution using Spec-Driven Development (SDD).
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Establish engineering governance practices and quality standards for AI-generated code, defining guardrails to minimize technical inaccuracies and unreliable outputs.
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Explore, implement, and optimize agentic development tools and workflows, including GitHub Copilot, Skills, Model Context Protocol (MCP) integrations, prompt engineering, and context engineering.
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Guide engineering teams in applying unit testing, automated testing, code reviews, code quality controls, and observability practices.
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Contribute to the design and evolution of software architectures involving Java, Spring, microservices, messaging systems, and AI-enabled capabilities.
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Collaborate with stakeholders and multidisciplinary teams to evaluate technical challenges and align architectural decisions with business and functional requirements.
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Identify opportunities to automate repetitive engineering tasks and improve development workflows through AI-assisted practices.
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Promote continuous improvement, technical knowledge sharing, and responsible adoption of AI technologies across development teams.
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Help ensure that AI-enabled solutions meet standards for maintainability, reliability, security, and scalability.
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Strong professional experience in software engineering using Java 17 or later and the Spring ecosystem, including Spring Boot and Spring Cloud.
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Practical experience applying artificial intelligence to software engineering workflows and developing or orchestrating intelligent agents.
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Solid knowledge of Spec-Driven Development (SDD), context engineering, and prompt orchestration techniques.
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Hands-on experience with GitHub Copilot, Skills, and MCP integrations.
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Knowledge of microservices architecture, messaging systems such as Kafka or RabbitMQ, and cloud platforms such as Microsoft Azure or AWS.
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Experience with unit testing, code quality practices, and CI/CD pipelines using tools such as GitLab, Jenkins, SonarQube, and Jira.
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Strong understanding of software architecture, development standards, and engineering governance.
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Excellent analytical and problem-solving skills, with the ability to assess AI-generated code and identify technical risks.
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Strong communication and collaboration skills, with the ability to influence technical decisions and work effectively across multidisciplinary teams.
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Adaptability and a continuous improvement mindset, particularly