

Lorven Technologies Inc.
Sr Gen AI Engineer (AI/ML)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data and Gen AI Engineer in Dallas, TX, on a long-term contract. Key skills include knowledge graph, Graph DB, Neo4j, and AI/ML expertise, specifically in finance. On-site work and strong hands-on experience are required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 10, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Texas, United States
-
π§ - Skills detailed
#Data Governance #Deployment #Compliance #Neo4J #AI (Artificial Intelligence) #ML (Machine Learning) #Scala #Data Pipeline #Knowledge Graph #Cloud
Role description
Hi,
Our client is looking for a Sr Data and Gen AI Engineer for Long Term project in Dallas, TX below is the detailed requirement.
Job Role: Sr Data and Gen AI Engineer
Location: Dallas, TX
Mode of Hiring: Contract
Domain: Finance Domain
About the Role:
β’ Sr Data and Gen AI Engineer 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:
β’ Design and implement GraphDB and VectorDB solutions to store, query, and retrieve structured and unstructured financial data.
β’ Build knowledge graph pipelines integrating multiple data sources to support LLM fine-tuning and retrieval-augmented generation workflows.
β’ Set up scalable data pipelines for model training, embedding generation, and data preprocessing
β’ Collaborate with AI researchers and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary LLMs.
β’ Deploy and optimize model hosting for fast inference on on-prem or cloud GPU servers.
β’ Ensure data governance, lineage and compliance with internal and regulatory standards.
Hi,
Our client is looking for a Sr Data and Gen AI Engineer for Long Term project in Dallas, TX below is the detailed requirement.
Job Role: Sr Data and Gen AI Engineer
Location: Dallas, TX
Mode of Hiring: Contract
Domain: Finance Domain
About the Role:
β’ Sr Data and Gen AI Engineer 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:
β’ Design and implement GraphDB and VectorDB solutions to store, query, and retrieve structured and unstructured financial data.
β’ Build knowledge graph pipelines integrating multiple data sources to support LLM fine-tuning and retrieval-augmented generation workflows.
β’ Set up scalable data pipelines for model training, embedding generation, and data preprocessing
β’ Collaborate with AI researchers and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary LLMs.
β’ Deploy and optimize model hosting for fast inference on on-prem or cloud GPU servers.
β’ Ensure data governance, lineage and compliance with internal and regulatory standards.






