Faiss Jobs

Lead the design and production of recommender and personalization systems at Quizlet, applying large-scale retrieval, embedding, and ranking techniques to improve learner engagement and mastery.

Lead the design and optimization of LLM and RAG systems that power personalized, data-driven insights for athletes and coaches at Texas Sports Academy.

LLNL is hiring an AI Solutions Engineer to build and operationalize RAG-driven, LLM-enabled integrations and APIs that bring AI capability to enterprise business applications.

Experienced Full Stack Developer wanted to build enterprise web applications and AI-driven features (LLMs, agents, RAG) for RainFocus's event platform in a remote role based from Lehi, UT.

Design and deploy scalable, production-grade AI applications as a remote Full-Stack AI Engineer working with models, APIs, data pipelines, and front-end features for U.S.-houred clients.