Jobs via Dice

AI Engineer Contractor/Charlotte, NC or Dallas, TX(5 Days Onsite)- 6+ Months Contract

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer Contractor in Charlotte, NC or Dallas, TX, with a 6+ month contract and a pay rate of "unknown." Key skills include Python, embeddings, knowledge graphs, and advanced RAGs. A degree in CS, AI/ML, and 5+ years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 4, 2025
🕒 - Duration
More than 6 months
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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
Charlotte, NC
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Scala #Monitoring #Python #REST API #Deployment #"ETL (Extract #Transform #Load)" #REST (Representational State Transfer) #Cloud #GCP (Google Cloud Platform) #Java #Azure #AWS (Amazon Web Services) #Knowledge Graph #ML (Machine Learning)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Suncap Technology, is seeking the following. Apply via Dice today! Title: AI Engineer Contractor Location: Charlotte, NC or Dallas, TX Hybrid/Remote/Onsite: 100% Onsite Duration: Contract - 6 month with potential extension Skills Needed: Python, Embedding Models, Knowledge Graphs, Advanced RAGs (Retrieval-Augmented Generation), Ontology Extraction Must be located in Charlotte or Dallas - will be working on-site 5 days/week What You'll Get to Do: • Build applications leveraging foundation models and advanced GenAI techniques (Agentic RAG, KG-RAG) • Develop autonomous agents using modern agentic frameworks • Implement MCP integrations and Python-based full-stack solutions • Create scalable REST APIs and deploy AI workloads on major clouds • Apply LLMOps/MLOps best practices for CI/CD and monitoring • Work across teams, mentor others, and drive innovation in embeddings, knowledge graphs, and ontologies What You'll Bring with You: • Degree in CS, AI/ML, or related field • 5+ years of AI/ML-focused software engineering • Production experience with LLMs and agentic systems • Strong MCP knowledge and expert-level Python (zero Java) • Experience with embeddings at scale, knowledge graphs, ontology extraction, and advanced RAG • Full-stack skills (Python back end + modern front end) • Cloud deployment experience (AWS, Azure, or Google Cloud Platform) • Familiarity with LLMOps tools and strong problem-solving/communication skills