Rang Technologies Inc

About the Company

Headquartered in New Jersey, Rang Technologies has dedicated over a decade delivering innovative solutions and best talent to help businesses get the most out of the latest technologies in their digital transformation journey. Rang Technologies has grown to become a global leader in Analytics, Data Science, Artificial Intelligence, Machine Learning, Salesforce CRM, Cloud, DevOps, Internet of Things - IoT, Cybersecurity, IT Consulting and Staffing, and Corporate Training. Our Life Sciences and Healthcare divisions have become industry-leading talent solution partners for our customers of all sizes and at all stages of their journey. Our customers, which include startups to the Fortune 500 companies, come from a wide array of industries, including pharmaceuticals, healthcare, life sciences, retail, technology, BFSI, media, automobile, manufacturing, and several others. Our customers know they can rely on Rang Technologies to deliver customized and comprehensive digital solutions and talent to complement their business and technical objectives. Combining the depth of our multidisciplinary team of professionals and boundless innovation with our “customer-centric” approach to service, Rang Technologies has the right resources to help companies of all sizes cultivate real business value at the right price. This approach has led Rang Technologies to being recognized as one of the fastest growing companies in the United States by Inc magazine for four consecutive years, NJ's fastest 50 growing companies for two consecutive years, NJ’s Top Minority-Owned Businesses and NJ’s Life Sciences award for industry innovation and impact. With our global presence, we have been providing a generous repository of technology manpower and consistent availability of external subject matter experts with the best speed and quality. Our goal is to meet expectations of excellence – those of our customers, our employees, our candidates, and those of our community.

Listed Jobs

Company Name

Rang Technologies Inc

Job Title

Senior AI / Knowledge Graph Engineer

Job Description

Job Title: Senior AI / Knowledge Graph Engineer Role Summary: Design, build and deploy a scalable, production‑grade Knowledge Graph and LLM‑enabled architecture to power a next‑generation sales prospecting and relationship intelligence platform. Focus on modeling complex entity relationships, integrating graph insights with AI‑driven recommendations, and delivering APIs that provide actionable prospecting insights. Expactations: • Produce a robust, enterprise‑grade knowledge graph architecture that supports property graph and/or RDF models. • Integrate structured, semi‑structured and relational data into optimized graph structures. • Develop and maintain graph queries (Cypher/SPARQL) and ontology models for sales intelligence use cases. • Implement Retrieval‑Augmented Generation (RAG) pipelines that fuse LLM outputs with graph knowledge. • Deliver scalable, secure APIs delivering real‑time prospecting insights and relationship scoring. Key Responsibilities: • Architect and implement property graph or RDF knowledge graphs. • Transform and ingest data from relational databases and external sources into graph structures. • Create and maintain ontology and entity relationship models. • Write efficient Cypher/SPARQL queries for traversal, scoring, and analytics. • Build LLM integration layers (RAG) and AI recommendation engines. • Expose functionality via REST/GraphQL APIs and application services. • Ensure performance, scalability, security, and compliance of the graph platform. • Collaborate with sales and business stakeholders to translate requirements into technical solutions. Required Skills: • 5+ years in data engineering, AI engineering, or knowledge graph development. • Hands‑on experience with property graph (e.g., Neo4j) and/or RDF frameworks (e.g., Apache Jena, RDF4J). • Proficiency with Cypher and/or SPARQL query languages. • Strong data modeling and ontology design expertise. • Python development and API design skills. • Experience integrating LLMs into enterprise applications, familiarity with RAG architectures. • Exposure to relational database integration and external data sources. Required Education & Certifications: • Bachelor’s degree in Computer Science, Data Engineering, or related field (advanced degree preferred). • Relevant certifications (e.g., Neo4j Certified Professional, AWS/Azure/GCP data services) are a plus.

New york, United states

On site

Senior

10-03-2026