Senior AI / ML Engineer (Python)
Posted Updated
Summary
Senior AI/ML Engineer designing Python-based LLM, NLP, and voice AI systems (conversational IVR, intent detection, call routing) for a telecom end client in Charlotte, NC. Day-to-day work spans text classification/clustering, RAG and prompt engineering, Agentic AI workflows, and establishing LLMOps practices while mentoring junior engineers.
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
Skills
- Agentic AI
- AI
- Airflow
- AutoGen
- BentoML
- Cloud
- CrewAI
- FAISS
- Hugging Face
- LangChain
- LangGraph
- LlamaIndex
- LLM
- LLMOps
- Machine Learning
- MLflow
- MLOps
- MySQL
- NLP
- NumPy
- OpenAI
- Oracle
- pandas
- Pinecone
- Prompt Engineering
- Python
- Qdrant
- RAG
- scikit-learn
- Sentence Transformers
- spaCy
- SQL
- SQLAlchemy
- Transformers
- Vector Databases
- Weaviate
- XGBoost
