Description

You will build scalable backend systems and AI-integrated services using Java, Node.js, and Graph AI technologies.

This role is remote.

Responsibilities

• Design and develop scalable microservices and RESTful APIs using Java (Spring Boot) and Node.js.
• Implement Graph AI patterns and integrate Neo4j for knowledge graph and semantic system development.
• Build semantic routing and LLM-integrated architectures using modern AI-driven design principles.
• Manage real-time or micro-batch data processing within event-driven architectures.
• Maintain CI/CD pipelines, source control (Git), and containerized deployments on AWS or GCP.

Required Skills

• 8–10+ years of hands-on experience in backend development with Java and/or Node.js.
• Strong proficiency in Spring Boot or Node frameworks for building distributed systems.
• Mandatory experience with Graph AI, Neo4j, graph data modeling, and Cypher query language.
• Deep understanding of object-oriented design, MVC, and domain-driven design patterns.
• Experience with semantic routing, MCP servers, and ontology-driven entity relationships.
• Proficiency in cloud platforms (AWS/GCP) and containerized deployment strategies.
• Solid grasp of data modeling for both relational and graph-based systems.

Preferred Skills

• Experience with semantic systems and AI-driven architecture integration.
• Familiarity with micro-batch data processing and event-driven design.

Key Skills

Education

Any Graduate