

Artificial Intelligence Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with 7+ years in data engineering, focusing on AI/ML model development and data ingestion. Contract length is unspecified, pay rate is "unknown," and it requires hybrid work. Key skills include Python, data lineage, and experience with LLMs.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
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ποΈ - Date discovered
August 1, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Charlotte Metro
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π§ - Skills detailed
#Python #ML (Machine Learning) #Data Engineering #Data Ingestion #Data Lineage #AI (Artificial Intelligence) #Scala #"ETL (Extract #Transform #Load)"
Role description
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Required Skills:
β’ Recent project experience with AI/ML
β’ Proven experience with Python and building AI/ML models and agents.
β’ 7+ years experience in data engineering, including ingestion pipelines and data lineage.
β’ Ability to architect and implement interactive systems that bridge data and user-driven prompts.
β’ Comfortable working in a hybrid environment and participating in in-person collaboration.
Preferred Qualifications:
β’ Experience with LLMs and prompt tuning
β’ Familiarity with AI-centric product design
β’ Ability to work across multiple data platforms
Team & Culture:
Join a reimagined team focused on AI transformation within a larger 75-person Data Analytics org. We're scaling up and looking for innovative thinkers who want to build meaningful solutions.
Overview:
Weβre seeking a creative and technically strong AI Prompt Engineer with a Data Engineering background to join our growing Local Solutions team. This role will be instrumental in building an interactive AI data product with robust ingestion frameworks, lineage tracking, and dynamic prompt-response capabilities.
Key Responsibilities:
β’ Design and implement prompt engineering strategies to enhance user interaction with data products.
β’ Develop scalable data ingestion and lineage systems that support AI model performance and traceability.
β’ Collaborate with cross-functional teams to define data flows and incorporate AI/ML agents into the product.
β’ Build, test, and deploy intelligent agents that respond to user prompts using real-time data.