Senior Java Developer (Business Automation & AI)

Let’s create our future together at The AES Group!

About The AES Group

The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.

We’re hiring a Senior Java Developer (3–5 years) to help modernize business automation and self-service support platforms. You’ll maintain and migrate complex decision logic using Drools and Kogito, and support the build-out of AI chatbot infrastructure. This role also focuses on converting legacy documentation into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) patterns.
 

What you’ll do

• Design, develop, and maintain decision services using Drools (DRL); migrate legacy workflows to cloud-native Kogito microservices.
• Build and manage AWS Bedrock Knowledge Bases to enable accurate, context-aware AI responses.
• Create automated pipelines to extract, clean, and convert legacy documentation into optimized formats (Markdown/vector-ready), stored in Amazon S3.
• Develop secure, high-performance REST APIs using Quarkus or Spring Boot to integrate chatbot capabilities into Java applications.
• Deploy and scale business automation services in Kubernetes/OpenShift environments.
• Collaborate with engineering and product stakeholders to improve decision accuracy, performance, and maintainability.

Required skills & experience

• 3–5 years of professional Java experience (8/11/17+) with Spring Boot or Quarkus.
• Hands-on experience writing/debugging Drools rules and implementing DMN (Decision Model and Notation).
• Proven experience with Kogito for cloud-native business processes.
• Experience with AWS Bedrock (Knowledge Bases, Agents, and/or prompt engineering).
• Strong working knowledge of Amazon S3 for document storage and metadata tagging.
• Experience converting legacy HTML/XML documentation into structured formats (Markdown/JSON) for AI usage.
• Experience with Git, CI/CD pipelines, Docker, and Kubernetes.

Nice to have

• Experience with vector databases (Amazon OpenSearch, Pinecone, Milvus).
• Python exposure for document parsing/automation.
• Knowledge of BPMN 2.0 standards.
• AWS certifications (Developer Associate and/or Machine Learning Specialty).

Ready to make an impact? Apply now and join us on our journey!