RAG, agents, and fine-tuning experts evaluated on shipped GenAI systems — not “ChatGPT” in a skills list.
22 matching full-time / mid-level+ listings
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.
Generic résumés do not prove production ability. Ganloss evaluates llm developers on production RAG, orchestrated agents, and documented fine-tuning — not keyword-stuffed skill lists.
Filter by stack, review GitHub, papers, or technical cases, then contact profiles with demonstrated level in the United States. $36/month — no hire commission.
Agencies charge 15–25% of annual salary and often recycle the same LinkedIn profiles. Ganloss combines a niche AI job board, tech talent pool, and project-based matching — hire faster with fewer mismatches.
Publish in about five minutes with Google for Jobs indexing and reach active candidates in the US AI market.