AI developer openings in Remote (US): Python, LLM, GenAI, full stack, and apprenticeships.
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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.
Remote US Pinterest GenAI role for generative Pin experiences — diffusion, evals, and creator-facing APIs.
Remote US Airbnb ML role detecting fraud and policy abuse — sequence models, graph features, and online monitoring.
n8n jobs remote full time contract or permanent — workflow automation, webhooks, and LLM agent nodes for US SaaS customers. Matches n8n jobs in the last 3 days remote full time searches.
LLM engineer jobs for US remote teams — embeddings, tool use, and enterprise RAG on Cohere APIs. Matches llm engineer jobs and llm engineer united states jobs in the last week.
RAG pipeline jobs building ingestion, chunking, rerank, and eval loops for developer copilots — full-time remote US for rag pipeline jobs and rag developer jobs.
Teams hire Hugging Face engineer profiles for hub integrations, fine-tuning pipelines, and enterprise support — remote US full-time aligned with hire hugging face engineer searches.
The AI developer market in Remote (US) (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.