-augmented generation (RAG) pipelines, and scalable data integration across enterprise platforms. Experience integrating...
minutes, SLAs, RAG Ratings, Firmwide issues. Monthly CORR Reporting for vendor incidents. Vendor Incident Tracker...
-augmented generation (RAG) pipelines, and scalable data integration across enterprise platforms. Experience integrating...
, integrating multi-provider models (OpenAI, Anthropic, Google) Implement RAG patterns, embedding pipelines, and vector search..., migrations, vector search AI/LLM: LangChain, LangGraph, RAG workflows, multi-LLM orchestration Infrastructure: Docker...
internal OS/portal-type platforms for employees. Exposure to RAG systems, AI-assisted workflows, or agent-based UIs...
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture Understanding of ML lifecycle, Feature...
, PyTorch, Scikit-learn, or XGBoost. Develop and optimize agentic LLM pipelines, RAG workflows, and semantic search using...
engineering standards. Collaborate with DXG CoEs to operationalize retrieval-augmented generation (RAG), vectorized APIs...
-how: Microservices, REST APIs, CI/CD data pipelines, cloud platforms MCP, RAG, AgentDNS, A2A Protocol, AI workflow automation, AI Memory...
with vector databases, embeddings, and retrieval-augmented generation (RAG) Familiarity with agent planning algorithms, goal...
technologies, including generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine...
advanced Retrieval-Augmented Generation (RAG) systems, including optimized embeddings and indexing. Implement and maintain...
advanced Retrieval-Augmented Generation (RAG) systems, including optimized embeddings and indexing. Implement and maintain...
working knowledge and theoretical understanding of Retrieval-Augmented Generation (RAG) based GenAI architectures, including...
working knowledge and theoretical understanding of Retrieval-Augmented Generation (RAG) based GenAI architectures, including...
, our rate limiting platform, and our RAG platform. We have multiple teams that are currently hiring. Team placement occurs...
-augmented generation (RAG), multi-source data ingestion, and analytics components. · Lead model selection, feature design... to solve real-world problems. · Familiarity with multi-modal agent frameworks (LangChain, Haystack, RAG pipelines...
. Working knowledge of ML/LLM concepts (data pipelines, model evaluation, prompt/RAG design, human-in-the-loop, MLOps/monitoring...
LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators..., RAG architecture, and agent frameworks, including safe automation design and evaluation practices. Solid grounding in ML...
LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators..., RAG architecture, and agent frameworks, including safe automation design and evaluation practices. Solid grounding in ML...