AI developer openings in Remote (US): Python, LLM, GenAI, full stack, and apprenticeships.
15 listings available
Daily digest · unsubscribe · Privacy (GDPR-ready)
Bot detection and LLM abuse prevention at the edge — US remote.
Managed GenAI features on Atlas — fully remote US ML platform team.
Applied ML for skills inference and document understanding — US remote.
Remote LLM engineer supporting API customers and safety tooling — full-time US remote for llm engineer full time remote searches.
RAG developer jobs focused on citation-grounded answers, index freshness, and latency for a US remote answer engine team.
Build and support enterprise Cohere API integrations — embeddings, rerank, and tool-use patterns for production RAG.
Remote LLM engineer building agent workflows for contact centers — matches searches for llm engineer remote jobs and llm jobs remote across the United States.
Improve talent–job matching using shipped projects and structured profiles.
Operate private cloud and VPC deployments for regulated customers.
Educate developers on open models, fine-tuning, and deployment best practices.
Contribute to Transformers, datasets, and inference APIs used globally.
Build managed LLM and embedding features inside the Snowflake data cloud.
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.