Desenvolvedor Java - This role is central to enabling AIdriven decision pipelines by integrating internal AI platforms (e. G., NASH), external AI services, enterprise data sources, and compliance systems through wellorchestrated backend services. The ideal candidate combines strong Java engineering fundamentals, distributed systems expertise, and handson experience implementing AI orchestration, rule application, and explainable decision flows in regulated, enterprise environments. Key Responsibilities AINative Backend & Agentic Orchestration Design, build, and maintain backend services in Java that support agentic AI pipelines Implement agentic workflows that route content and data through internal AI platforms (e. G., NASH), applying compliance rules, metadata, and review logic Develop APIs and services that enable: Context enrichment Rule evaluation Decision orchestration Explainable AI outcomes Orchestrate interactions between: Internal AI platforms (NASH) External AI services (Azure AI, AWS AI) Enterprise data and compliance systems Architecture & Distributed Systems Lead architectural discussions for AIdriven backend platforms Design scalable, resilient, and secure microservices architectures Ensure high performance, reliability, and fault tolerance in production AI workflows Apply solid objectoriented design, design patterns, and domaindriven principles Governance, Compliance & Security Embed governance, auditability, traceability, and explainability into all AIenabled backend services Ensure secure data handling and compliance with enterprise and regulatory standards Implement logging, monitoring, and audit trails for AIdriven decisions Enforce backend security best practices (OAuth2, JWT, secure API design) Engineering Excellence & Collaboration Write clean, maintainable, and welltested Java code following best practices Perform code reviews and raise engineering standards across teams Collaborate with frontend, AI, data, product, and compliance teams Mentor junior and midlevel engineers Actively contribute to Agile/Scrum ceremonies and continuous improvement Required Qualifications and Experience 10 years of professional experience in Java backend development Strong expertise in core Java (Java 8) Proven experience building enterprisegrade, distributed systems Strong experience with RESTful APIs and microservices Handson experience developing backend integration services and orchestration layers Solid understanding of: Objectoriented design Design patterns Software engineering best practices Experience with relational databases (PostgreSQL, MySQL, Oracle) Proficiency with Git, Maven/Gradle, and CI/CD pipelines Strong debugging, troubleshooting, and performance optimization skills Preferred Skills and Technologies Frameworks: Spring Boot, Spring MVC, Spring Cloud Experience supporting or integrating AI/ML and LLMbased systems Familiarity with agentic AI workflows and AI orchestration concepts Cloud platforms: AWS, Azure, or GCP Containerization & orchestration: Docker, Kubernetes Messaging systems: Kafka, RabbitMQ NoSQL databases: MongoDB, Cassandra Monitoring & observability: Prometheus, ELK stack, Splunk Understanding of AI governance, compliance, and responsible AI practices Frontend exposure (Angular, React) is a plus for crossstack collaboration Soft Skills and Competencies Strong analytical and problemsolving skills Excellent communication and collaboration abilities Proven leadership in technical discussions and system design High ownership and accountability Ability to work independently and in crossfunctional teams Adaptability and continuous learning mindset Strong organizational and timemanagement skills Education Requirements Bachelors degree in Computer Science, Software Engineering, or related field Masters degree is a plus