AI Engineer

AI Engineer

Location: Onsite role in Charlotte, NC or Dallas TX

Rate: $60 - Do not exceed

Duration: Contract - 6 months with potential for extension

Skills Needed: Statistical Analysis (Not just deployments), Graph Data Analysis, NLP Proficiency, ML Ops, Engineering Mindset (Ability to build and deploy), etc

onsite interview

Start: Jan 2026

Reminder: Please submit the following in the notes section when you submit the resume

Linkedin Link (Include in Resume):

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Name of the project, group and reporting client manager from most recent two years of work:

Actual rate being paid to the candidate on W2:

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 GCP)

• Familiarity with LLMOps tools and strong problem-solving/communication skills