Position: Java Engineer- AI Driven Automation & Vulnerability Remediation
Location: Remote in Brazil
Employment Type: CLT
Monthly Salary in BRL: 18,000-21,554.40 reais
About 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 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 compliance
What 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 with CI/CD pipelines (GitLab preferred)
* Familiarity with large-scale codebases and repository management
AI / 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 exposure
Nice-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