Senior AI Engineer | Sage Home Loans
Sage Home Loans Corporation · Charlotte, NC
$150,000–$220,000from the description
Jun 29, 2026
Charlotte, NC
Jul 21, 2026
What this job asks for AI summary
A senior engineering role focused on building and shipping LLM-powered products for a digital mortgage lender, including automated document processing, income calculation, and virtual assistants. The position involves owning evaluation infrastructure, guiding foundation model selection, designing safety guardrails, and mentoring junior engineers. It suits an experienced practitioner with a track record of taking generative AI systems from prototype to production in regulated environments.
Senior level · 5+ 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
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $138,909 (middle half $110,048–$168,680). 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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is hybrid (Mon/Fri remote, Tue–Thu on-site in South Charlotte, NC) — not fully remote. Corp-to-corp and visa sponsorship are explicitly excluded.
SOC classification is a genuine judgment call: the role ships LLM-powered production software (pointing to 15-1252 Software Developers) but also involves model selection, fine-tuning, eval design, and retrieval system design that overlap with 15-2051 Data Scientists. 15-1252 was chosen because the primary output is production AI systems and software products.
The BS/MS in CS/ML is listed as 'preferred' with equivalent applied experience explicitly accepted in lieu of a degree, so no minimum degree is hard-required.
Fine-tuning techniques (SFT, DPO, LoRA) and RAG/retrieval design appear in the main requirements block but are framed with 'familiarity with' — still treated as required given their placement in the primary qualifications section, but the softer framing is noted.
Comfort operating in a regulated/financial environment is explicitly called 'a plus' in the requirements section.
TypeScript, React, and Node.js are explicitly labeled 'nice-to-have' for app integration.
The $150k–$220k range is described as total cash compensation, which may include base salary plus target bonus depending on the role; equity may be offered separately and is not included in this range.
Read the full posting
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