All AI developer openings in the United States: LLM, Python, GenAI, full stack, and apprenticeships.
40 listings available
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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 MLOps engineer for model CI/CD and GPU serving — Bellevue / Seattle hybrid enterprise AI platform.
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.
Pinterest ML engineer jobs on visual search and embedding retrieval — computer vision for Pins in San Francisco.
DoorDash GenAI for merchant menus, support, and ops copilots — Seattle hybrid LLM engineering.
DoorDash ML engineer jobs on ETA, batching, and courier assignment — optimization + online learning in San Francisco.
The AI developer market in the United States 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.