Role name: Senior AI Engineer - Spanish
Work site: Charlotte, NC - onsite
Start date: Immediate availability.
Job Type: C2C/W2/1099
Job Description:
Important: Must-have: Native Spanish speaker (required)
Experience: 5+ Years in AI / ML . Must have Pre LLM era experience.
Team: IVR & Conversational AI
Organization: Charter Communications
Skills: Python, NLP, and LLM experience
Role Overview
Charter Communications is looking for a senior AI Engineer to lead IVR and Conversational AI initiatives, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems.
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
Proven expertise in NLP, including:
Text classification
Clustering
Hands-on experience with LLMs:
Prompt engineering
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)
Libraries & Tools
Python / ML: NumPy, Pandas, Scikit-learn, XGBoost
NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers
LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK
Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI
Data & SQL: Oracle, MySQL, SQLAlchemy
Vector Databases: FAISS, Pinecone, Weaviate, Qdrant
LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow
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