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 ResponsibilitiesAINative Backend & Agentic OrchestrationDesign, build, and maintain backend services in Java that support agentic AI pipelinesImplement agentic workflows that route content and data through internal AI platforms (e. G., NASH), applying compliance rules, metadata, and review logicDevelop APIs and services that enable:Context enrichmentRule evaluationDecision orchestrationExplainable AI outcomesOrchestrate interactions between:Internal AI platforms (NASH)External AI services (Azure AI, AWS AI)Enterprise data and compliance systemsArchitecture & Distributed SystemsLead architectural discussions for AIdriven backend platformsDesign scalable, resilient, and secure microservices architecturesEnsure high performance, reliability, and fault tolerance in production AI workflowsApply solid objectoriented design, design patterns, and domaindriven principlesGovernance, Compliance & SecurityEmbed governance, auditability, traceability, and explainability into all AIenabled backend servicesEnsure secure data handling and compliance with enterprise and regulatory standardsImplement logging, monitoring, and audit trails for AIdriven decisionsEnforce backend security best practices (OAuth2, JWT, secure API design)Engineering Excellence & CollaborationWrite clean, maintainable, and welltested Java code following best practicesPerform code reviews and raise engineering standards across teamsCollaborate with frontend, AI, data, product, and compliance teamsMentor junior and midlevel engineersActively contribute to Agile/Scrum ceremonies and continuous improvementRequired Qualifications and Experience10 years of professional experience in Java backend developmentStrong expertise in core Java (Java 8)Proven experience building enterprisegrade, distributed systemsStrong experience with RESTful APIs and microservicesHandson experience developing backend integration services and orchestration layersSolid understanding of:Objectoriented designDesign patternsSoftware engineering best practicesExperience with relational databases (PostgreSQL, MySQL, Oracle)Proficiency with Git, Maven/Gradle, and CI/CD pipelinesStrong debugging, troubleshooting, and performance optimization skillsPreferred Skills and TechnologiesFrameworks: Spring Boot, Spring MVC, Spring CloudExperience supporting or integrating AI/ML and LLMbased systemsFamiliarity with agentic AI workflows and AI orchestration conceptsCloud platforms: AWS, Azure, or GCPContainerization & orchestration: Docker, KubernetesMessaging systems: Kafka, RabbitMQNoSQL databases: MongoDB, CassandraMonitoring & observability: Prometheus, ELK stack, SplunkUnderstanding of AI governance, compliance, and responsible AI practicesFrontend exposure (Angular, React) is a plus for crossstack collaborationSoft Skills and CompetenciesStrong analytical and problemsolving skillsExcellent communication and collaboration abilitiesProven leadership in technical discussions and system designHigh ownership and accountabilityAbility to work independently and in crossfunctional teamsAdaptability and continuous learning mindsetStrong organizational and timemanagement skillsEducation RequirementsBachelors degree in Computer Science, Software Engineering, or related fieldMasters degree is a plus