Position: Java Engineer- AI Driven Automation & Vulnerability RemediationLocation: Remote in BrazilEmployment Type: CLTMonthly Salary in BRL: 18,000-21,554.40 reaisAbout the RoleWe are partnering with a leading enterprise banking client to build a next-generation engineering capability focused on AI-driven vulnerability detection and automated remediation at scale.This team is tackling a critical challenge: modernizing application security by leveraging LLMs and AI agents to scan, identify, and remediate vulnerabilities across large-scale code repositories.As a Senior Java Engineer, you will play a key role in designing and building intelligent automation pipelines that integrate LLMs, AI agents, and enterprise DevOps workflows to significantly improve security posture and development velocity.What You’ll Be Doing- Design and build automation pipelines that scan source code repositories and identify security vulnerabilities using LLMs and AI tooling- Develop intelligent remediation workflows to automatically resolve or recommend fixes for vulnerabilities- Integrate AI-driven systems into existing DevOps pipelines (GitLab, CI/CD)- Collaborate with architecture teams to build scalable, enterprise-grade solutions across large codebases- Work hands-on with Java/Spring Boot applications to implement secure coding and remediation patterns- Build and optimize AI agent workflows including rules, skills, and orchestration logic- Ensure systems are scalable, reliable, and performant in a high-volume enterprise environment- Partner with platform and security teams to continuously improve code quality, resiliency, and complianceWhat We’re Looking ForCore Requirements- Strong/Fluent in English- 5+ years of experience in Java development- Strong hands-on experience with Spring Boot / enterprise Java applications- Deep understanding of:- Multithreading & concurrency- Design patterns & clean code principles- Scalable system architecture- Experience working with CI/CD pipelines (GitLab preferred)- Familiarity with large-scale codebases and repository managementAI / Modern Exposure (Highly Preferred)- Exposure to or experience with:- LLMs (e.G., Claude, GPT, or similar)- AI-assisted development workflows- AI agents, pipelines, or orchestration frameworks- Understanding of how AI can be leveraged to solve real engineering problems, not just theoretical exposureNice-to-Have- Experience in application security, vulnerability scanning, or remediation- Knowledge of DevSecOps practices- Exposure to tools like Windsurf or other AI developer platforms- Experience in enterprise banking or financial services environments