Job Description

AI Engineer GenAI / Agentic Systems

Location: Charlotte, NC or Dallas, TX

What You'll Do

• Build GenAI applications leveraging foundation models and advanced architectures such as Graph RAG.
• Develop autonomous AI agents using modern agentic frameworks.
• Design and deploy RAG and GenAI services using Python (Fast API), Docker, and cloud platforms (AWS, Azure, or GCP).
• Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources.
• Implement LLM evaluation frameworks using tools such as Ragas, Lang Smith, 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 Graph RAG 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/Graph RAG implementations.
• Full-stack development and deployment experience (Python back end + modern front end).
• Experience deploying AI workloads to AWS, Azure, or GCP.
• Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.
• Strong problem-solving, communication, and collaboration skills.

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