Retrieval Augmented Generation Rag Jobs in Santa Clara, CA

Focuses on implementing retrieval-augmented generation (RAG) pipelines, integrating LLMs with structured/unstructured data sources, and fine-tuning models for specific use cases. Key Skills:

We are now hiring a Senior AI Engineer - LLM, RAG to lead the development of Retrieval-Augmented Generation (RAG) systems that harness the power of large language models (LLMs) and real-world ...

We are now hiring a Senior AI Engineer - LLM, RAG to lead the development of Retrieval-Augmented Generation (RAG) systems that harness the power of large language models (LLMs) and real-world ...

They are seeking a Senior AI Engineer to lead the development of Retrieval-Augmented Generation ... Responsibilities : • Lead the architecture and development of RAG systems that combine LLMs (e.g ...

They are seeking a Senior AI Engineer to lead the development of Retrieval-Augmented Generation ... Responsibilities : • Lead the architecture and development of RAG systems that combine LLMs (e.g ...

They are seeking a Senior AI Engineer to lead the development of Retrieval-Augmented Generation ... Responsibilities : • Lead the architecture and development of RAG systems that combine LLMs (e.g ...

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

Applying Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities Communication Strong documentation and technical writing skills. Attention to detail ...

... Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities • Applying Machine Learning technologies for anomaly detection Minimum Qualifications Bachelor's degree in ...

Implement and optimize Retrieval-Augmented Generation (RAG) pipelines that combine structured and unstructured enterprise data sources. * Partner with AI engineers, platform teams, and product ...

... models, LLM, Retrieval-Augmented Generation(RAG), Model Context Protocol(MCP), Langchain, Langgraph etc. • Experienced in understanding functional requirement, integrate AI models with ...

Implement prompt engineering strategies, grounding techniques, and Retrieval-Augmented Generation (RAG) pipelines. Architecture & Integration * Define architecture standards for agentic systems ...

... building Retrieval-Augmented Generation (RAG) pipelines • Knowledge of semantic layers and knowledge graphs for structured reasoning • Proficient in Python and FastAPI for backend and API ...

Guided teams on LLM usage patterns, including prompt design, grounding strategies, and Retrieval-Augmented Generation (RAG) * Collaborated with AI architects and MLOps teams to ensure Responsible AI ...

Experience with AI frameworks/tools such as LangChain , Spring AI , OpenAI APIs , Azure OpenAI , Vertex AI , Anthropic Claude , or Retrieval-Augmented Generation (RAG) . * Experience with Docker ...

The ideal candidate should have hands-on expertise with Retrieval-Augmented Generation (RAG), Agentic AI workflows, and LLM-based automation, with the ability to integrate AI systems into complex ...

... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...

Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...

... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...

Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...