AI Prompt Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Prompt Engineer with 7+ years in data engineering, focusing on AI/ML projects. Contract length is unspecified, with a hybrid work location. Key skills include Python, data ingestion, and experience with LLMs.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 15, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Python #Data Lineage #"ETL (Extract #Transform #Load)" #Data Ingestion #Scala #ML (Machine Learning) #Data Engineering
Role description
Required Skills: Recent project experience with AI/ML Proven experience with Python and building AI/ML models and agents. 7+ years experience in data engineering, including ingestion pipelines and data lineage. Ability to architect and implement interactive systems that bridge data and user-driven prompts. Comfortable working in a hybrid environment and participating in in-person collaboration. Preferred Qualifications: Experience with LLMs and prompt tuning Familiarity with AI-centric product design 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: We’re 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: Design and implement prompt engineering strategies to enhance user interaction with data products. Develop scalable data ingestion and lineage systems that support AI model performance and traceability. Collaborate with cross-functional teams to define data flows and incorporate AI/ML agents into the product. Build, test, and deploy intelligent agents that respond to user prompts using real-time data.