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Senior AI / ML Engineer (Python)

ITTConnect Charlotte, North Carolina, United States

Aug 31
python Principal (10+ yrs) Full-time United States
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About the role

Architect and develop AI-driven IVR and conversational systems while designing scalable LLM and NLP solutions. Lead the development of Agentic AI workflows and establish best practices for LLMOps and lifecycle management.

What they look for

Python NLP LLM SQL Prompt Engineering RAG Agentic AI LLMOps Text Classification Clustering LangChain Hugging Face Transformers Data Analysis Vector Databases MLOps IVR

Requirements

Requires 12+ years of experience in AI/ML with strong proficiency in Python and NLP techniques. Candidates must have hands-on experience with LLMs, prompt engineering, RAG, and data analysis using SQL.

Full description

ITTConnect is seeking an experienced Senior AI / ML Engineer (Python) to work for a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. End client is in the telecom industry.

Job location: Charlotte, NC.

We are seeking a highly experienced senior AI Engineer, 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

NLP models for text classification and clustering to support intent detection and call routing

  • Perform

data analysis using SQL

  • 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

Requirements

  • 12+

years of experience in AI / ML

  • Strong proficiency in Python.
  • Proven

expertise in NLP, including:

  • Text

classification

  • Clustering
  • Strong

experience in data analysis using SQL

  • 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

  • Cloud

Experience

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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