Themesoft Inc.
Sr GenAI Engineer - Dallas, TX-5 Days Office-F2F Interview Is Must
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data and Gen AI Engineer in Dallas, TX, requiring 8+ years of experience. Key skills include Graph DB, Vector DB, LangChain, and AI deployment. The position is on-site, with a focus on financial data systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Governance #Knowledge Graph #Compliance #AI (Artificial Intelligence) #Langchain #ML (Machine Learning) #Neo4J #Scala #Deployment #Data Pipeline #Cloud
Role description
• Location: Dallas, TX (5 days office )
• Role: Sr Data and Gen AI Engineer
• No of Position-1
• Overall – 8+ years
JD:-
One of the finance clients is seeking a Sr Data and Gen AI Engineer with strong expertise in knowledge graph, Graph DB, Vector DB, LangChain, LangGraph, 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 Skills & 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.
• Location: Dallas, TX (5 days office )
• Role: Sr Data and Gen AI Engineer
• No of Position-1
• Overall – 8+ years
JD:-
One of the finance clients is seeking a Sr Data and Gen AI Engineer with strong expertise in knowledge graph, Graph DB, Vector DB, LangChain, LangGraph, 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 Skills & 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.
