Retrieval Augmented Generation Rag Jobs in Snoqualmie, WA

Proficiency in RAG (Retrieval-Augmented Generation) techniques. * Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning. * Familiarity ...

Responsibilities : • Develop and implement generative AI models using frameworks like TensorFlow and PyTorch. • Build and optimize RAG (Retrieval-Augmented Generation) pipelines. • Work on NLP ...

Familiarity with foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent development applied to full-stack application development, including enterprise reusable ...

Build and integrate AI-enabled capabilities into backend services and APIs using foundation models, prompt engineering, and retrieval-augmented generation (RAG) patterns. * Implement audit logging ...

Programming & AI Technologies - Strong coding experience with Python and modern AI frameworks, including experience with multimodal models, retrieval-augmented generation (RAG), agentic systems, and ...

Embedded within the Data & Intelligence organization's Privacy practice, this engineer will apply large language models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and ...

Familiarity with foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent development applied to full-stack application development, including enterprise reusable ...

Programming & AI Technologies - Strong coding experience with Python and modern AI frameworks, including experience with multimodal models, retrieval-augmented generation (RAG), agentic systems, and ...

... RAG (Retrieval-Augmented Generation) techniques. • Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning. • Familiarity with ...

Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...

Familiarity with retrieval-augmented generation (RAG), vector databases, and enterprise AI architectures preferred. * Demonstrated ability to influence technical strategy across cross-functional ...

... Retrieval-Augmented Generation (RAG) systems and LLM-based solutions to enhance financial knowledge retrieval and decision support Proactively identify and solve challenges related to GenAI solutions ...

... Retrieval-Augmented Generation (RAG) systems and LLM-based solutions to enhance financial knowledge retrieval and decision support Proactively identify and solve challenges related to GenAI solutions ...

Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...

Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights. * Combine LLMs, CV, and rule-based logic to ...

... retrieval-augmented generation (RAG), and advanced text generation techniques. • Proven experience implementing parameter-efficient fine-tuning (PEFT) techniques (e.g., LoRA) to customize and ...

Build and integrate AI-enabled capabilities into backend services and APIs using foundation models, prompt engineering, and retrieval-augmented generation (RAG) patterns. Implement audit logging ...

Designing and optimize Retrieval-Augmented Generation (RAG) pipelines for multi-step, tool-using AI agents. * Developing ranking, relevance modeling, and evaluation frameworks to improve search ...

... Retrieval-Augmented Generation (RAG), fine-tuning, vector databases, and agent orchestration frameworks (LangGraph, CrewAI). - Understanding of enterprise security protocols: SSO (SAML/OIDC), RBAC ...

Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g. Claude, Gemini, GPT-4) into production privacy applications. * Implement structured prompting ...