, and intelligent workflows. Implement embeddings, vector search, RAG pipelines, and semantic retrieval using Pinecone, Weaviate, FAISS..., embeddings, and RAG pipelines. Strong SQL skills and experience with cloud platforms. Familiarity with Docker, Kubernetes...
and recommendations to marketing colleagues and to senior management Design and build scalable RAG pipelines, AI agents, and enterprise... building Generative AI solutions, including LLM applications, RAG pipelines, embeddings, vector databases, prompt engineering...
databases and enterprise RAG, including Milvus, Qdrant, Pinecone, or pgvector, to build advanced, secure retrieval-augmented...
, knowledge assistants) for cost engineering use cases. Implement RAG architectures, vector databases, and multi-agent... proficiency in Python, SQL, and Git. GenAI / LLMs: Practical experience with LLMs, prompt engineering, RAG architecture, vector...
AI agents, prompts, grounding, RAG, and custom agent actions. Design and deliver Salesforce Data Cloud solutions including...
semantic search and Retrieval-Augmented Generation (RAG) solutions. Implement reasoning, orchestration, and automation... and Microsoft Azure AI services. Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions. Proven...
defects known issues via RAG concepts Familiarity with Agentic AI frameworks task planning tool usage iterative refinement...
solutions Build and implement Agentforce AI agents, prompts, grounding (RAG), and custom agent actions Design and deliver...
Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI applications. Experience with MLOps, model deployment.... Experience with Generative AI, LLMs, OpenAI API, LangChain, Hugging Face, or RAG. Experience with Databricks, Snowflake...
Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI applications. Experience with MLOps, model deployment.... Experience with Generative AI, LLMs, OpenAI API, LangChain, Hugging Face, or RAG. Experience with Databricks, Snowflake...