2 of 2 Remote Faiss Jobs

setups). Advanced proficiency in Python, including scripting for LLM pipelines, handling dependencies with tools like Poetry or Pipenv, and integrating with libraries such as Sentence Transformers for embeddings, FAISS for vector search, or Streamlit/Gradio for prototyping interfaces. Experience with vector databases and semantic search (e.g., Pinecone, Weaviate, or FAISS) to support efficient retrieval in LLM applications. Demonstrated More ❯

tools. DAY TO DAY Design and implement LLM-based applications using LLaMA 3 or comparable foundation models. Build and optimize RAG pipelines integrating with vector databases such as Redis, FAISS, or Pinecone. Develop backend systems using Python (primary) and Java (secondary). Write and optimize SQL queries for data extraction, transformation, and analytics. Deploy AI models using NVIDIA Triton Inference More ❯