Ampstek
Fulltime :: Sr. Data Engineer (agentic AI & Generative AI)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fulltime Sr. Data Engineer specializing in agentic AI and generative AI, remote (USC), with a contract duration of over 6 months. Key skills include data engineering, Knowledge Graph expertise, Python, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Data Quality #HBase #Data Modeling #RDF (Resource Description Framework) #Knowledge Graph #AI (Artificial Intelligence) #Python #Data Engineering
Role description
Hi ,
Hope you are doing great!
We have the below urgent position with my client. Please reply if you are interested.
Job Role : Sr. Data Engineer (agentic AI & generative AI)
Location : Remote (USC)
Fulltime
Note : Need somebody who has worked on agentic AI and generative AI
Required Skills
• Extensive data engineering experience, including production-grade data modeling and ensuring data quality.
• Expertise as a Knowledge Graph SME, with practical skills in:
• Entity and relationship modeling
• Ontologies and semantic design
• RDF TTL and related graph standards
• Proficiency in Python and SQL.
• Familiarity with GraphRAG and graph-based retrieval patterns.
• Hands-on experience constructing and querying Knowledge Graphs in real-world scenarios.
Hi ,
Hope you are doing great!
We have the below urgent position with my client. Please reply if you are interested.
Job Role : Sr. Data Engineer (agentic AI & generative AI)
Location : Remote (USC)
Fulltime
Note : Need somebody who has worked on agentic AI and generative AI
Required Skills
• Extensive data engineering experience, including production-grade data modeling and ensuring data quality.
• Expertise as a Knowledge Graph SME, with practical skills in:
• Entity and relationship modeling
• Ontologies and semantic design
• RDF TTL and related graph standards
• Proficiency in Python and SQL.
• Familiarity with GraphRAG and graph-based retrieval patterns.
• Hands-on experience constructing and querying Knowledge Graphs in real-world scenarios.
