AI developer openings in San Francisco: Python, LLM, GenAI, full stack, and apprenticeships.
23 listings available
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3D perception and sensor fusion for autonomous vehicles — Mountain View HQ.
Agentforce and Einstein GPT features for CRM workflows at Salesforce Tower.
Notion AI: agents, inline assistants, and enterprise search across workspaces.
Production ML pipelines on Foundry for commercial enterprise AI deployments.
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.
Build the proof-first AI hiring marketplace at ganloss.com.
Train and evaluate Gemini-class models with Google-scale infrastructure.
Improve feed and ads ranking with large-scale deep learning.
The AI developer market in San Francisco (California) stays competitive: LLM, RAG, agents, MLOps, and GenAI in product. Employers want Python, Java, or full-stack profiles who ship to production—not just prototypes.
On Ganloss, listings focus on the AI ecosystem: scale-ups, consultancies, finance, and enterprise transformation. Posted salary ranges help you compare before applying.
Common stack: Python, PyTorch or TensorFlow, LLM APIs (OpenAI, Anthropic), LangChain/LlamaIndex, Docker/Kubernetes, SQL, and cloud (AWS, GCP). Enterprise GenAI also hires full-stack Java/Angular profiles.
Recruiters value production skills (tests, observability, latency), product collaboration, and agile delivery. Apprenticeships and internships remain strong entry paths.
Create your Ganloss profile, turn on email alerts, and target posts with salary shown. Bring a portfolio (GitHub, RAG/agent projects) and tune your résumé for LLM, MLOps, Python, GenAI.