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 preprocessingCollaborate 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.