RAG, GenAI, agents — US LLM hiring: salaries, timelines, and job posts.
59 listings available
GenAI tooling for podcast creators — Boston tech hub.
Ship improvements to Transformers and inference APIs — NYC hub.
Kernel and inference optimizations for LLM serving — Austin AI research lab.
Real-time voice agents and telephony LLM integrations — Denver engineering office.
Second Glean hub role — retrieval quality and agent tools for enterprise search.
Bot detection and LLM abuse prevention at the edge — US remote.
Inference and fine-tuning on Cloudflare Workers AI — Austin engineering hub.
Managed GenAI features on Atlas — fully remote US ML platform team.
Atlas Vector Search and GenAI developer experience — NYC product engineering.
Build LLM tracing, eval, and cost monitoring products for Datadog customers.
Agentforce and Einstein GPT features for CRM workflows at Salesforce Tower.
Notion AI: agents, inline assistants, and enterprise search across workspaces.
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.