Overview
On Site
Contract - W2
Skills
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Collaboration
Mentorship
Innovation
Artificial Intelligence
Machine Learning (ML)
Software Engineering
Microsoft Certified Professional
Java
Ontologies
Extraction
Python
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Problem Solving
Conflict Resolution
Communication
Job Details
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:
What You'll Bring with You:
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
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