Rag Jobs in Colorado (NOW HIRING)

Hands-on experience with LangChain, LangFuse, Llama 3.2 LLM, and RAG-based architectures. • Agentic AI & MCP: Drive implementation of Agentic AI systems and Model Context Protocol (MCP), A2A for ...

Build a production-grade, multi-agent copilot for financial advisors that retrieves and reasons over client data using RAG and a persistent knowledge graph of clients and holdings, analyzes portfolio ...

RAG, Embeddings, Vector Search * Prompt Engineering & LLM APIs * AI Solution Design & Production Deployment * Strong communication/stakeholder skills Preferred: Network/Telecom, anomaly detection ...

RAG, MODEL CONTEXT PROTOCOL, LLMs, AWS SERVICES, ETL, SQL. • Hands-on experience building with LLMs -- prompt engineering, agent frameworks, tool-use patterns, or RAG systems. • Experience with ...

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

Campminder is building an AI layer beneath every product we make, grounded on 25 years of camp data across close to 1,700 camps and a RAG system that's live today. This role builds that shared ...

Campminder is building an AI layer beneath every product we make, grounded on 25 years of camp data across close to 1,700 camps and a RAG system that's live today. This role builds that shared ...

Campminder is building an AI layer beneath every product we make, grounded on 25 years of camp data across close to 1,700 camps and a RAG system that's live today. This role builds that shared ...

Expand your expertise in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent automation. * Grow into a technical leadership role while driving innovation across Keysight ...

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

Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems while collaborating with AI/ML engineers to productionize model serving, inference pipelines, and ...

Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems while collaborating with AI/ML engineers to productionize model serving, inference pipelines, and ...

Build retrieval-augmented generation (RAG) systems for engineering knowledge, specifications, design documentation, test plans, and project data. * Create workflow automations that connect ...

Design and implement RAG pipelines, embedding strategies, and vector search architectures. * Build agentic workflows, prompt strategies, and orchestration patterns for LLM systems. * Own AI/ML ...

RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude ...

Build AI solutions using LLMs, agents, and RAG frameworks. * Design scalable AI architectures with workflow orchestration, memory, and state management. * Evaluate AI systems for quality ...

Build AI solutions using LLMs, agents, and RAG frameworks. * Design scalable AI architectures with workflow orchestration, memory, and state management. * Evaluate AI systems for quality ...

RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude ...

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

RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude ...