generation (RAG) workflows. Partner with data stakeholders to gather requirements for language-model initiatives and translate... understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows. Skilled at integrating...
Vercel AI SDK or similar GenAI frameworks. Deep understanding of retrieval-augmented generation (RAG), embeddings, vector...
Vercel AI SDK or similar GenAI frameworks. Deep understanding of retrieval-augmented generation (RAG), embeddings, vector...
in generative AI. Hands-on experience with retrieval-augmented generation (RAG) techniques and vector databases (e.g., FAISS...
in generative AI. Hands-on experience with retrieval-augmented generation (RAG) techniques and vector databases (e.g., FAISS...
are required. Understand the AI workflows, LLMs, Vector database, Elastic search. Retrieval-Augmented-Generation (RAG) technique...
with multi-agent systems. Knowledge of RAG (Retrieval-Augmented Generation) architectures. Experience deploying AI solutions...
, API integrations, web scraping, data pipeline orchestrationDeep understanding of LLM architectures, RAG systems...
Design and implement GenAI solutions (Copilots, AI chatbots, RAG pipelines, AI agents) to enhance service delivery across Tax... development (PySpark) Strong skills in RAG architecture design, prompt engineering, and agent orchestration Experience...
. This includes building the conversational UI, implementing a robust Tool Manager for RAG against the food and user databases... with AI orchestration frameworks (e.g., LangChain, CrewAI, or building custom agentic logic). - They have a strong understanding of RAG...