Position:Java Engineer- AI Driven Automation & Vulnerability Remediation Location:Remote in Brazil Employment Type:CLT Monthly Salary in BRL:18,000-21,554.40 reaisAbout the Role We 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 workflowsincluding 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 For Core 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 withCI/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