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ITTConnect

engineering opportunity

Senior AI / ML Engineer (Python)

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.

Charlotte, North Carolina, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at ITTConnect?

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

Which skills does this role require?

PythonNLPLLMSQLPrompt EngineeringRAGAgentic AILLMOpsText ClassificationClusteringLangChainHugging Face TransformersData AnalysisVector DatabasesMLOpsIVRAIMLNumPyPandasScikit-learnXGBoostspaCyNLTKLlamaIndexOpenAI SDKLangGraphAutoGenCrewAIOracleMySQLFAISSPineconeWeaviateAirflowMachine LearningLLMs

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