Job Specifications
Job Title: Senior AI / Knowledge Graph Engineer – Sales Intelligence
Location: New York, NY, (Hybrid)
Duration: 6-12 Months
Role Overview
We are seeking a senior-level engineer to design and implement a production-grade Knowledge Graph and LLM-enabled architecture to power a next-generation sales prospecting and relationship intelligence platform. This role will focus on modeling complex entity relationships (agents, clients, products, referrals, external signals, etc.) and integrating graph-based insights with AI-driven recommendations to improve targeting, cross-sell identification, and relationship mapping.
Key Responsibilities
Design and implement a knowledge graph architecture using property graph and/or RDF-based models
Transform and integrate structured and semi-structured data into optimized graph structures
Develop and query graph systems using Cypher and/or SPARQL
Design ontologies and entity relationship models to support sales intelligence use cases
Integrate knowledge graphs with LLMs using Retrieval-Augmented Generation (RAG) architectures
Build APIs and application services to deliver AI-driven prospecting insights
Implement scoring, relationship strength analysis, and network traversal logic
Ensure scalability, security, and enterprise-grade performance
Partner with sales and business stakeholders to translate requirements into technical solutions
Required Qualifications
5+ years in data engineering, AI engineering, or knowledge graph development
Hands-on experience with knowledge graph technologies (property graph and/or RDF frameworks)
Experience with Cypher and/or SPARQL
Strong data modeling and ontology design skills
Experience integrating relational databases and external data sources
Strong Python development skills
Experience integrating LLMs into enterprise applications
Familiarity with RAG architectures and AI-driven recommendation systems
Preferred Qualifications
Experience building sales intelligence or CRM-adjacent platforms
Knowledge of embeddings, semantic search, and vector databases
Experience designing relationship scoring or network analytics models
Cloud platform experience (AWS, Azure, or GCP)
Experience in financial services or insurance environments
Success Criteria
Deliver a scalable knowledge graph + AI solution that enhances sales prospect identification and relationship insights
Enable measurable improvements in targeting precision and cross-sell opportunity identification
Establish a reusable architecture pattern for enterprise AI-driven sales initiatives
“We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law.”
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...
Know more