Senior Java / AI Developer

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 Technical 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).

Preferred Qualifications:

Experience with Vector Databases (Amazon OpenSearch, Pinecone, or Milvus). Understanding of Python (specifically for BeautifulSoup/Pandoc-based document parsing). Knowledge of

BPMN 2.0

standards. AWS Certified Developer or AWS Machine Learning Specialty certification.