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EI

AI Engineer

Expert In Recruitment Solutions
  • πŸ‡ΊπŸ‡Έ United States
  • On-site
  • 9 months ago
  • AI
  • Machine Learning
  • RAG
  • MCP
  • Python
  • REST API
  • MLOps
  • CI/CD
  • AI/ML
  • Java
  • AWS
  • Azure
  • GCP
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AI Engineer
Locations: Charlotte, NC - 5 days onsite
Experience: 5–8 years
Onsite Interview is a must

AI Engineer (2)

Our client, a top-tier Management Consulting firm, is seeking a highly skilledAI 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

AI Engineer Β· Expert In Recruitment Solutions

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