AI Engineer

AI Engineer

Locations:
Charlotte, NC - 5 days onsite

Experience:

5–8 years Onsite Interview is a must

Our client, a top-tier Management Consulting firm, is seeking a highly skilled AI Engineer to support a top-tier U.S. Bank.

Responsibilities & Requirements

• Build applications using 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 cloud platforms
• Apply LLMOps/MLOps best practices for CI/CD and monitoring
• Mentor team members and drive innovation in embeddings, knowledge graphs, and ontologies

Must Have

• 5+ years of AI/ML-focused software engineering experience
• Production experience with LLMs and agentic systems
• Strong MCP knowledge and expert-level Python (no Java)
• Experience with embeddings at scale, knowledge graphs, ontology extraction, and advanced RAG
• Full-stack experience (Python backend + modern frontend)
• Cloud deployment experience (AWS, Azure, or GCP)
• Familiarity with LLMOps tools
• Strong problem-solving and communication skills

Skills:

Python, LLM observability, agentic frameworks, customer agent design and deployment, fine-tuning models, GraphRAGs