LLM-based applications Experience designing complex workflows or orchestration systems Solid understanding of RAG...
or supporting data architecture for GenAI, RAG, enterprise search, or agentic AI use cases in production environments. Familiarity...
-Augmented Generation (RAG) pipelines, including document retrieval, embedding strategies, and LLM integration for knowledge...
data warehouses and NoSQL databases. Exposure to LLM APIs (Anthropic, OpenAI) or Retrieval-Augmented Generation (RAG...
best practices in development and deployment Desired Experience and Skills Experience with LLM-based solutions such as RAG...
solutions Build and implement Agentforce AI agents, prompts, grounding (RAG), and custom agent actions Design and deliver...
capabilities into production systems: RAG, embeddings, prompt engineering, LLM APIs (OpenAI, Gemini, Claude, etc.). Familiarized...
based solutions for a production environment. Experience with Generative AI and LLMs — prompt engineering, RAG...
platform, ensuring it is scalable, efficient, and ready to enable advanced AI workloads (GenAI/RAG). In your future role... the platform for Artificial Intelligence, providing high-quality, AI-ready data for ML, RAG, and AI agents, integrating...
platform, ensuring it is scalable, efficient, and ready to enable advanced AI workloads (GenAI/RAG). In your future role... the platform for Artificial Intelligence, providing high-quality, AI-ready data for ML, RAG, and AI agents, integrating...