Senior Java Developer (Business Automation & AI)
Salt Lake City, Utah, United States of America
Contract
3 weeks ago
Key skills
JavaAIMLLLMRAGETLSpring BootSpringAWSKubernetesDockerOpenShiftS3BedrockRESTfulGitCI/CD
About this role
Senior Java Developer (Business Automation & AI)
Salt Lake City, UT (Hybrid)
Long term contract
Our client is in search of a Java Developer to join their team. In this role, you will play a key part in modernizing business logic and self-service support systems. You will be responsible for maintaining and migrating complex business rules using Drools and Kogito, while helping build our next-generation AI Chatbot infrastructure. A major focus of this position will be leading the digital transformation of legacy documentation (Adobe RoboHelp) into a high-performance Knowledge Base powered by AWS Bedrock and RAG (Retrieval-Augmented Generation) architectures.
Key Responsibilities
- Business Automation: Design, develop, and maintain complex decision services using Drools (DRL) and migrate legacy workflows to cloud-native Kogito microservices.
- AI Implementation: Architect and manage AWS Bedrock Knowledge Bases, ensuring the LLM provides accurate, context-aware responses.
- Data Pipeline & ETL: Build automated pipelines to extract, clean, and convert legacy Adobe RoboHelp content into optimized Markdown/Vector formats stored in Amazon S3.
- Backend Development: Develop high-performance RESTful APIs using Quarkus or Spring Boot to integrate AI chatbot capabilities into our core Java applications.
- Cloud Orchestration: Deploy and scale business automation services within a Kubernetes/OpenShift environment.
Required Skills
- Java Mastery: 3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.
- Rule Engines: Hands-on experience writing and debugging Drools rules and implementing DMN (Decision Model and Notation).
- Cloud Native Automation: Proven experience with Kogito for building cloud-native business processes.
- AWS AI/ML Stack: Experience configuring AWS Bedrock (Knowledge Bases, Agents, or Prompt Engineering).
- **Proficiency in managing Amazon S3 for large-scale document storage and metadata tagging.
- Documentation Transformation: Experience (or strong scripting ability) in converting Adobe RoboHelp (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
- Modern DevOps: Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).