NEED W2 CANDIDATE = , OPT 
LOCAL TO = NC, TX 

AI Engineer – GenAI / Agentic Systems
Location: Charlotte, NC or Dallas, TX
Schedule: On-site 5 days/week

What You’ll Do

• Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.

• Develop autonomous AI agents using modern agentic frameworks.

• Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or Google Cloud Platform).

• Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources.

• Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.

• Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring of latency, cost, and response quality.

• Develop systems leveraging embeddings at scale, knowledge graphs, and ontology extraction.

• Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and agentic AI architectures.

What You’ll Bring

• Degree in Computer Science, AI/ML, or related field.

• 5 years of AI/ML-focused software engineering experience.

• Production experience building LLM-based or agentic AI systems.

• Strong expertise in Python and modern AI frameworks.

• Experience with embeddings, knowledge graphs, ontology extraction, and advanced RAG/GraphRAG implementations.

• Full-stack development and deployment experience (Python back end modern front end).

• Experience deploying AI workloads to AWS, Azure, or Google Cloud Platform.

• Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.

• Strong problem-solving, communication, and collaboration skills.

Salary : $70 - $80