Senior Machine Learning Engineer - Charlotte, Nc - LLM/Rag/Ai at Kelly Services
Charlotte, NC
$80–$90/hrfrom the description
Aug 4, 2026
Charlotte, NC
Sep 24, 2026
What this job asks for AI summary
A Senior Machine Learning Engineer role at an enterprise information and analytics firm, focused on designing and building LLM-powered research tools, retrieval-augmented generation systems, and agentic AI workflows for a regulated professional-services industry. The position is fully hands-on, requiring architecture-level thinking across distributed ML systems and enterprise AI platforms, with a hybrid work arrangement in Charlotte, NC.
Senior level · 8+ years · Charlotte-Concord-Gastonia, NC-SC · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 10 people in the Charlotte-Concord-Gastonia, NC-SC area plausibly meet what this posting asks for (data scientists). range 7–15
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $135,373 (middle half $99,450–$169,109). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 6, 2026. It is a model, not a headcount.
Why we read it this way (4)
The compensation figure '$80 - $90' appears at the top of the posting with no stated basis (hourly, daily, annual). Given the staffing-firm context (Motion Recruitment Partners) and the magnitude of the numbers, this is most likely an hourly rate — but the posting never explicitly says so. Treat with caution.
MLOps, AWS, and Kubernetes are listed under 'Required Skills & Experience' but framed with 'Exposure to' rather than firm proficiency language, so they are treated as preferred rather than hard gates.
The experience requirement is stated as '12+ years of development experience, OR 8+ years with a PhD' under 'Desired Skills & Experience', making it a preferred rather than a hard gate; the overall years minimum is set to 8 (the lower bound) as a reasonable floor.
The role sits at the boundary between Data Scientists (15-2051) and Software Developers (15-1252); the ML modeling and LLM/RAG architecture emphasis tips it toward 15-2051, but the strong emphasis on building and deploying distributed systems and enterprise platforms makes 15-1252 a credible alternative.
Read the full posting
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