AI Engineer
RIT Solutions
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 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
Vacancy posted 4 days ago
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