MM Management Consultant is hiring: Artificial Intelligence Engineer in Charlott
MM Management Consultant, Charlotte, NC, United States
Location
Charlotte, NC (4 days 1 day remote)
Candidate Requirements
W2 Candidates only
Local Nearby Candidates Required
Key Responsibilities
Architect and develop AI-driven IVR and conversational systems using Python
Build English-Spanish translation systems.
Perform data analysis using SQL on large-scale IVR and interaction datasets
Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases
Lead development of agentic AI workflows for multi-step customer interactions
Establish LLMOps best practices , including monitoring, evaluation, and lifecycle management
Partner with IVR platform, speech engineering, and product teams
Mentor offshore and junior AI engineers
Required Skills & Experience
5+ years of experience in AI / ML
Very strong proficiency in Python
Text classification
Hands-on experience with LLMs :
Evaluation frameworks
Retrieval-Augmented Generation (RAG)
Good to Have
Experience with Agentic AI and multi-agent orchestration
Experience with LLMOps / MLOps in production environments
Familiarity with IVR platforms and speech technologies (ASR, NLU, TTS)
#J-18808-Ljbffr
Charlotte, NC (4 days 1 day remote)
Candidate Requirements
W2 Candidates only
Local Nearby Candidates Required
Key Responsibilities
Architect and develop AI-driven IVR and conversational systems using Python
Build English-Spanish translation systems.
Perform data analysis using SQL on large-scale IVR and interaction datasets
Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases
Lead development of agentic AI workflows for multi-step customer interactions
Establish LLMOps best practices , including monitoring, evaluation, and lifecycle management
Partner with IVR platform, speech engineering, and product teams
Mentor offshore and junior AI engineers
Required Skills & Experience
5+ years of experience in AI / ML
Very strong proficiency in Python
Text classification
Hands-on experience with LLMs :
Evaluation frameworks
Retrieval-Augmented Generation (RAG)
Good to Have
Experience with Agentic AI and multi-agent orchestration
Experience with LLMOps / MLOps in production environments
Familiarity with IVR platforms and speech technologies (ASR, NLU, TTS)
#J-18808-Ljbffr