Software Engineer with Graph AI- R01565378

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies. They are seeking a Software Engineer with expertise in Graph AI to develop scalable systems, design RESTful APIs, and work with graph technologies to support their clients' digital transformation journeys.

Responsibilities:

• 8–10+ years of experience in backend development using Java and/or Node.js, with strong hands-on expertise in building scalable systems (Spring Boot / Node frameworks)
• Strong experience designing and developing RESTful APIs and microservices in distributed architectures
• Solid understanding of object-oriented design principles and design patterns (e.g., MVC, domain-driven design)
• Hands-on experience with graph technologies, including Neo4j, and familiarity with graph data modeling and query languages (e.g., Cypher)
• Experience working on Knowledge Graph or semantic systems, including ontology-driven design and entity relationships
• Familiarity with modern AI-driven architectures such as semantic routing, MCP servers, and LLM-integrated systems
• Strong experience with real-time or micro-batch data processing and event-driven architectures
• Proficiency with CI/CD pipelines and source control (Git) in enterprise environments
• Experience with cloud platforms (AWS/GCP) and containerized deployments
• Solid understanding of data modeling (relational and/or graph-based) and data integration patterns
• Experience working in Agile/Scrum environments with strong collaboration and problem-solving skills

Requirements:

• 8–10+ years of experience in backend development using Java and/or Node.js, with strong hands-on expertise in building scalable systems (Spring Boot / Node frameworks)
• Strong experience designing and developing RESTful APIs and microservices in distributed architectures
• Solid understanding of object-oriented design principles and design patterns (e.g., MVC, domain-driven design)
• Hands-on experience with graph technologies, including Neo4j, and familiarity with graph data modeling and query languages (e.g., Cypher)
• Experience working on Knowledge Graph or semantic systems, including ontology-driven design and entity relationships
• Familiarity with modern AI-driven architectures such as semantic routing, MCP servers, and LLM-integrated systems
• Strong experience with real-time or micro-batch data processing and event-driven architectures
• Proficiency with CI/CD pipelines and source control (Git) in enterprise environments
• Experience with cloud platforms (AWS/GCP) and containerized deployments
• Solid understanding of data modeling (relational and/or graph-based) and data integration patterns
• Experience working in Agile/Scrum environments with strong collaboration and problem-solving skills
• Experience with Graph + AI patterns (e.g., GraphRAG, LLM + Knowledge Graph integration)
• Exposure to Salesforce ecosystem (APIs, Data Cloud, or platform integrations)
• Experience with ontology management tools and semantic layer design
• Familiarity with vector databases and embedding-based retrieval systems
• Experience with data governance, metadata management, or enterprise data platforms