AI developer openings in San Francisco: Python, LLM, GenAI, full stack, and apprenticeships.
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Discord ML engineer jobs for content moderation and abuse detection — NLP and multimodal classifiers in San Francisco.
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 Dash RAG engineer — enterprise knowledge retrieval, citations, and permission-aware search in San Francisco.
Pinterest ML engineer jobs on visual search and embedding retrieval — computer vision for Pins in San Francisco.
DoorDash ML engineer jobs on ETA, batching, and courier assignment — optimization + online learning in San Francisco.
LinkedIn AI jobs: LLM engineer on Job Matching and Recruiter copilots — retrieval, ranking, and fairness evals in Sunnyvale.
Airbnb ML engineer jobs for search ranking and listing quality — improve guest discovery with production ML in San Francisco.
Uber ML engineer jobs on marketplace pricing, ETA, and demand forecasting — large-scale online learning in San Francisco.
Adobe Sensei ML engineer for document intelligence and creative assist features — hybrid San Francisco with production PyTorch pipelines.
Adobe AI jobs: LLM engineer on Firefly generative models — prompt evals, safety filters, and Creative Cloud product integration in San Jose / Bay Area.
Deep learning software engineer jobs on large-scale training and inference — PyTorch, compiler optimizations, and distributed systems for recommendation and GenAI. Full-time US role for deep learning software engineer jobs in the Bay Area.
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.