Description:
AI Architect with AWS bedrock, langchain, RAG, GraphQL, PostgreSQL, Tensorflow, PyTorch Job Details: Design multilayered AI solutions balancing compute efficiency contextual fidelity and algorithmic adaptability retrieval reasoning planning tooluseDevelop advanced RAG pipelines leveraging vector databases eg ChromaDB Milvus FAISS and embedding strategies for contextual accuracyIntegrate AI capabilities with enterprise systems via REST and GraphQL APIs ensuring secure and scalable interoperabili
Jan 26, 2026;
from:
dice.com