Sr. GenAI Engineer with Graph DB, Vector DB, Neo4j

Role: Sr. GenAI Engineer with Graph DB, Vector DB, Neo4j & RAG Location: Dallas, TX (3 days a week onsite is required) Job Type: Contract Experience Required: 10+ years Required Skills Strong expertise in knowledge graph, Graph DB, Vector DB, Neo4j, RAG, and similar technologies. About The Role • One of the finance clients is seeking a Sr Gen AI Engineer(10+ years of exp.) with strong expertise in knowledge graph, Graph DB, Vector DB, Neo4j, RAG, and similar technologies. • This engineer will design and implement data infrastructure that enables efficient fine-tuning and deployment of large language models (LLMs) on client servers for low-latency inference. • The role demands a hands-on technologist who can architect, build, and optimize data systems serving enterprise-grade AI use cases. Key Responsibilities • Design and implement GraphDB and VectorDB solutions to store, query, and retrieve structured and unstructured financial data. • Build knowledge graph pipelines integrating multiple data sources to support LLM fine-tuning and retrieval-augmented generation workflows. • Set up scalable data pipelines for model training, embedding generation, and data preprocessing • Collaborate with AI researchers and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary LLMs. • Deploy and optimize model hosting for fast inference on on-prem or cloud GPU servers. • • Ensure data governance, lineage and compliance with internal and regulatory standards.