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.
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: ...
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.
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