LLM / GenAI engineer in San Francisco: matching on RAG, agents, and fine-tuning shipped to production — alternative to agencies and generic job boards.
18 matching full-time / mid-level+ listings · San Francisco
Agentforce and Einstein GPT features for CRM workflows at Salesforce Tower.
Notion AI: agents, inline assistants, and enterprise search across workspaces.
Lead GenAI features in HR and finance workflows — Pleasanton Bay Area campus.
LLM red teaming and eval engineer for frontier models — adversarial testing, jailbreak resistance, and production monitoring.
Legal-domain LLM engineer — retrieval, citation, and red teaming for enterprise law workflows.
RAG architect patterns for internal developer copilots — docs retrieval, eval harnesses, and safe tool calling.
Glean careers: LLM engineer improving retrieval, ranking, and agent tools for enterprise work AI assistants.
Full-time machine learning engineer on inference and product surfaces — United States hub in San Francisco for frontier model deployment.
Train and evaluate Gemini-class models with Google-scale infrastructure.
Scale low-latency serving paths for millions of daily queries.
Improve retrieval freshness and citation quality for the answer engine.
Build retrieval and tool-use features for enterprise Cohere deployments.
Generic résumés do not prove production ability. Ganloss evaluates llm / genai engineers on RAG, agents, and fine-tuning shipped to production — not keyword-stuffed skill lists.
Filter by stack, review GitHub, papers, or technical cases, then contact profiles with demonstrated level in San Francisco. $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.