Senior AI Engineer

Insight Global
Charlotte, NC, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$104,000.0 - $128,960.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Cluster Analysis Python (Programming Language) SQL Databases Chatbots Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Machine Learning Operations Virtual Agents
+1 more
Document Classification

Requirements

10+ years of experience in AI / ML Very strong proficiency in Python Proven expertise in NLP, including: Text classification and Clustering Strong experience in data analysis using SQL Hands-on experience with LLMs: Prompt engineering, Evaluation frameworks, Retrieval-Augmented Generation (RAG)

Nice to Have Skills & Experience

IVR / Conversational AI experience Agentic AI and multi-agent orchestration experience LLMOps / MLOps experience

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

About the company

Insight Global is seeking a Senior AI Engineer for a leading telecommunications client. This individual will lead the design and development of next-generation IVR and conversational AI solutions that support millions of customer interactions. The ideal candidate brings a strong foundation in traditional machine learning and NLP, combined with modern LLM expertise, to build scalable AI systems in production environments. This role will focus on NLP model development, LLM architectures, agentic AI workflows, and AI operational best practices while providing technical leadership and mentoring across the engineering organization. The position offers the opportunity to shape the future of voice and conversational experiences at enterprise scale.

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