AI Engineer

GraphRAG Agentic workflows RAG Knowledge graphs Ontology extraction LLM evaluation Ragas Lang Smith Embeddings LLMOps MLOps Prompt versioning Python FastAPI REST APIs Docker AWS Azure GCP CI/CD Full-stack development

Location:

Charlotte, NC | Type:
Contract |

Experience:

5+ years

This onsite contract role is focused on building production-grade GenAI applications and autonomous AI agents for large enterprise environments. You'll work on GraphRAG and advanced RAG architectures, enterprise data integration, and LLM-powered services that need to scale in production, not just look good in a demo.

The work includes designing and deploying Python/FastAPI services, building REST APIs for LLM-driven applications, and working with embeddings at scale, knowledge graphs, and ontology extraction. You'll also deploy workloads across AWS, Azure, and GCP.

There is a strong emphasis on evaluation and operational discipline. That includes implementing LLM evaluation frameworks with tools like Ragas and Lang Smith, or custom benchmarks, to measure relevance, groundedness, and hallucination. You'll also apply LLMOps and MLOps practices such as CI/CD, prompt and version management, automated testing, and monitoring across latency, cost, and response quality.

The right person brings 5+ years of AI/ML-oriented software engineering experience and a track record of shipping production LLM or agentic systems.