AI/ML Application Developer / Rules Engine Architect (Onsite)

Job Title: AI/ML Application Developer / Rules Engine Architect
Location: Columbia, MD (Onsite)
Job Type: Full-Time

Overview:
We are seeking a visionary Developer/Architect with deep expertise in rules engine architecture and AI/ML technologies to design and build a modern, intelligent application capable of processing thousands of dynamic rules with a self-learning decision-making engine essentially building an application with its own "brain."

Key Responsibilities:

• Design and develop a scalable application that applies thousands of complex business rules in real-time using a rules engine.
• Architect a flexible and intelligent core powered by machine learning models, capable of adaptive decision-making.
• Integrate and optimize rule engines (e.g., Drools, OpenL Tablets, Camunda, etc.) within the application stack.
• Build and train AI/ML models to enhance inference accuracy and automate rule evolution and optimization.
• Lead the selection and implementation of appropriate architecture patterns (microservices, event-driven, etc.).
• Collaborate with cross-functional teams (data science, DevOps, UI/UX) to deliver an end-to-end intelligent solution.
• Implement rule versioning, traceability, auditability, and performance tuning.
• Design robust APIs and services to support dynamic rule injection, execution, and feedback loops.

Required Skills & Qualifications:

• 7+ years of experience in application development with a focus on rule-based or AI/ML systems.
• Hands-on expertise with rules engines such as Drools, OpenL, JBoss BRMS, Camunda, or custom inference engines.
• Proficiency in Python, Java, or Scala, with strong understanding of object-oriented and functional programming paradigms.
• Solid experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Deep understanding of decision automation, business logic abstraction, and knowledge-based systems.
• Experience in cloud platforms (AWS, Azure, or Google Cloud Platform), CI/CD, and containerized environments (Docker/Kubernetes).
• Strong architectural skills with experience designing intelligent, modular, and scalable systems.

Preferred Qualifications:

• Master s degree or higher in Computer Science, Artificial Intelligence, or a related field.
• Experience building expert systems, decision engines, recommendation systems, or reasoning frameworks.
• Knowledge of semantic reasoning, knowledge graphs, or ontology-based logic systems.