Senior Machine Learning Engineer – Charlotte, Nc – LLM/Rag/Ai
Charlotte, NC, US
Healthcare
Contract,
$80 - $90
On-site
Other/Non Classified
Charlotte, NC, US
$80 - $90
Contract,
Other/Non Classified
On-site
Healthcare
Job details
Job Description
A leading enterprise information and analytics organization is hiring a Senior Machine Learning Engineer for a hybrid role in Charlotte, North Carolina. As a Senior Machine Learning Engineer, you will define the architecture of scalable AI/ML systems and agentic workflows across a global product portfolio.
In this role, you will help build next-generation AI products for a highly regulated professional-services industry, including LLM-powered research assistants, retrieval systems, and enterprise-grade agentic workflows. You will also influence the long-term AI platform strategy and establish technical standards for scalable, secure solutions.
Required Skills & Experience
Strong experience with AI/ML and agentic workflows
Strong experience with LLM and RAG architecture
Experience with vector databases
Exposure to MLOps
Proficiency with Python
Exposure to AWS and Kubernetes
Desired Skills & Experience
Experience building technology for the legal, compliance, or another highly regulated industry
12+ years of development experience, or 8+ years of development experience with a PhD
Degree in a relevant field
What You Will Be Doing
Daily Responsibilities
100% Hands On
Build and deploy advanced AI and machine learning models for professional research tools
Design and improve large-scale, distributed ML systems and enterprise platforms
Develop and integrate agent-based AI workflows and retrieval systems
Collaborate with engineering teams to ensure AI solutions are scalable and secure
The Offer
Bonus eligible
You will receive the following benefits
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k), including company match where applicable
Hybrid work arrangement in Charlotte, North Carolina.
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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