From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment... has become synonymous with our brand. An inclusive environment at rag & bone upholds our original values by encouraging employee connection...
, and RAG system development. Evaluation, A/B testing, and experimentation. Embody our culture and values. Qualifications...
(RAG) design, grounding, model routing/fallbacks, and safety guardrails to meet customer outcomes and Service Level...
learning frameworks and techniques. Applied research or development in areas like LLM fine-tuning, evaluation, or RAG...
(LLMs), Model Context Protocol (MCP) servers, and Retrieval-Augmented Generation (RAG). Mentor others and share knowledge... AI applications using technologies such as LLMs, Model Context Protocol (MCP) servers, or RAG pipelines. Working knowledge of web...
architectural patterns (e.g., generative AI workflows, RAG architectures) that foster innovation while adhering to best practices...
secure, reliable services for LLM/RAG, retrieval, and automation workflows; ship APIs and microservices... with strong observability and maintainability. LLM/RAG delivery: Select models/embeddings and vector storage; design chunking/indexing...
and private knowledge. The Azure AI Knowledge team is leading the way to deliver the next chapter of RAG (retrieval-augmented...
secure, reliable services for LLM/RAG, retrieval, and automation workflows; ship APIs and microservices... with strong observability and maintainability. LLM/RAG delivery: Select models/embeddings and vector storage; design chunking/indexing...
/AI with applied expertise in generative AI, LLMs, RAG, or multi-agent systems; able to guide architecture and evaluate tradeoffs...
, leveraging LLMs, agentic AI, retrieval‑augmented generation (RAG), semantic search, and low‑latency context retrieval. Your work... and beyond. Responsibilities: Architect and implement data systems that support Agentic AI workflows, including RAG pipelines and semantic...
ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG...
, which is the backbone of Microsoft 365 AI experiences and provides foundational file grounding and RAG across all Microsoft...-of-the-art grounding and RAG capabilities. Accountability for driving high quality evals to help ensure delivery...
+ years experience building and deploying LLM application development or RAG (retrieval augmented generation) systems... application development or RAG (retrieval augmented generation) systems?* Select... Voluntary Self-Identification...
Language Models (LLMs), Model Context Protocol (MCP) servers, and Retrieval-Augmented Generation (RAG) Mentor... Protocol (MCP) servers, or RAG pipelines Working knowledge of web and cloud technologies, including containers...
. Preferred: Background in backend AI/data-intensive system architectures. Experience with RAG pipelines, knowledge graphs...
, contextually relevant outputs. Architect dynamic context management strategies (session memory, RAG, personalization). Integrate... or working with RAG pipelines. Background in IR/search or knowledge management systems. Open-source contributions to LLM/agent...
(memory, RAG, prompt optimization). Integrate ML models, vector databases, and third-party services. Collaborate with ML... fullstack Python (FastAPI, Flask, Django, React/Vue/Angular, SQL/NoSQL). Hands-on AI agent integration (LLMs, RAG, multi-agent...
, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme...-to-end ML solutions in production · Hands-on experience developing Generative AI solutions such as RAG, AI Agents, and LLM...
experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) pipelines and advanced context... techniques, including LLM-as-a-Judge, agentic evaluations, and RAG assessments. A track record of delivering successful, large...