Retrieval Augmented Generation Rag Jobs in Colorado

... systems, Retrieval-Augmented Generation (RAG), workflow automation, and Google Cloud AI technologies. This individual must be equally comfortable defining enterprise architecture, mentoring ...

Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). * Proficiency in Python, JavaScript/TypeScript , or similar programming languages. * Experience with ...

Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations. * Creating and supporting ...

Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations. Creating and supporting ...

The position emphasizes deep expertise across retrieval-augmented generation (RAG), multi-agent orchestration, and model fine-tuning, while accelerating enterprise delivery through AI-assisted ...

Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows. * Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement ...

... Retrieval-Augmented Generation (RAG) outputs. • Measure hallucination rates and response reliability. Required Skills • 3-8 years of QA/Test Engineering experience. • Experience testing ...

Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation. * Develop ...

Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt orchestration. * Integrate AI applications with ...

Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt orchestration. * Integrate AI applications with ...

Familiarity with AI-enabled applications, retrieval-augmented generation (RAG), large language models, or other AI technologies that leverage structured knowledge and semantic data preferred.

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 ...

Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences. * Data pipelines, evaluation frameworks, and ...

Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences. * Data pipelines, evaluation frameworks, and ...

Design and implement retrieval-augmented generation (RAG) systems and semantic search architectures * Build production-grade LLM applications and agentic systems * Deploy scalable AI solutions across ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy * Deploy ...

Design and implement retrieval-augmented generation (RAG) systems and semantic search architectures * Build production-grade LLM applications and agentic systems * Deploy scalable AI solutions across ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy * Deploy ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy * Deploy ...

Design and implement retrieval-augmented generation (RAG) systems and semantic search architectures * Build production-grade LLM applications and agentic systems * Deploy scalable AI solutions across ...