RAG, GenAI, agents — US LLM hiring: salaries, timelines, and job posts.
35 listings available
Discord ML engineer jobs for content moderation and abuse detection — NLP and multimodal classifiers in San Francisco.
Remote Discord LLM engineer for community copilots and summarization — product GenAI with strong safety bars.
Remote US Groq ML systems role — runtime, scheduling, and developer APIs for high-throughput LLM inference.
Groq LLM inference engineer jobs — ultra-low-latency serving on LPUs, compiler tooling, and API performance in Mountain View.
ServiceNow AI jobs: LLM engineer on Now Assist for IT and HR workflows — enterprise RAG, guardrails, and evals in Santa Clara.
Dropbox LLM engineer for AI writing and file copilots — Seattle hybrid with TypeScript + Python stack.
Dropbox Dash RAG engineer — enterprise knowledge retrieval, citations, and permission-aware search in San Francisco.
Remote US Pinterest GenAI role for generative Pin experiences — diffusion, evals, and creator-facing APIs.
DoorDash GenAI for merchant menus, support, and ops copilots — Seattle hybrid LLM engineering.
LinkedIn AI jobs: LLM engineer on Job Matching and Recruiter copilots — retrieval, ranking, and fairness evals in Sunnyvale.
Uber GenAI engineer building rider and driver support agents with RAG, tool use, and eval harnesses — Seattle hybrid.
Adobe AI jobs: LLM engineer on Firefly generative models — prompt evals, safety filters, and Creative Cloud product integration in San Jose / Bay Area.
The llm engineer market stays tight: 45–90 day median time-to-hire, competition from scale-ups and consultancies. Ganloss centralizes active profiles and qualified applicants on an AI-focused platform.
Publish for free, access the talent pool, and get Google for Jobs indexing. Salary ranges below come from real Ganloss listings.
1) Define level (junior, mid, senior) and exact stack. 2) Write a posting with measurable scope and salary shown — transparent posts get roughly 2× more applicants. 3) Source on Ganloss + LinkedIn. 4) Validate with a short case (2–3 hours max).
See the LLM engineer role guide and competitor listings to calibrate your package.