…RLHF) - Retrieval-Augmented Generation (RAG) using embeddings, vector databases, and semantic search - Agentic workflows and tool-use patterns - Deployment, distributed inference, and optimization of…

…Developing and optimizing retrieval pipelines, embedding models, and context-augmented generation systems to deliver accurate, grounded AI outputs. Prototyping and iterating on new Agentic…

…workflows, durable messaging, and scalable data access patterns Experience building retrieval-augmented generation solutions (embeddings, semantic search, grounding) and managing prompt lifecycle/versioning Demonstrated…

…environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization. - 6+ years of design/implementation of production AI…

…Retrieval augmented generation (RAG) - Semantic search - vector database and embedding models - Agent orchestration framework - Evaluation and monitoring framework of open-ended tasks - Streaming and…

…These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration…

…image and video understanding/generation, speech/audio, embeddings, retrieval-augmented generation, evaluation frameworks, safety systems, and model lifecycle tooling. • Infrastructure and Capacity Management: Own…

…shipping and learning - fast iteration is second nature to you BONUS POINTS FOR - Experience fine-tuning LLMs or working with retrieval-augmented generation (RAG…

…architecture, vendor selection, and total-cost-of-ownership trade-offs. Bonus Points Hands-on experience deploying agentic AI, retrieval-augmented generation (RAG), or knowledge…

…capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand…

…prompt engineering, evaluation, retrieval-augmented generation (RAG), and agentic frameworks/orchestration Familiarity with the modern GenAI stack: LLM APIs, vector stores, embeddings, tool/function…

…Support development of RAG (retrieval-augmented generation) pipelines using Oracle’s Agent Studio and Vector Store. Conduct data exploration and create sample datasets for…

…cutting-edge retrieval-augmented generation technology that powers Amazon Quick Suite's intelligent document processing and search capabilities. You'll design and build scalable…

…and best practices for customer use cases Conduct systematic prompt experimentation and A/B testing to improve model outputs Implement RAG (Retrieval Augmented Generation…

…Experience applying NLP/LLMs to improve recommendation systems (embeddings, query understanding, content signals, retrieval augmentation) with disciplined evaluation and governance. Familiarity with responsible AI…

…At Formation, the lines between engineering, product management, and data science are converging. Engineers talk directly to users, PMs write code, and domain experts…

We're seeking a Database Engineer to architect and optimize our large-scale RAG (Retrieval-Augmented Generation) platform that serves our users across all…

…understanding of deal cycles, pipeline management, and CRM data models. Experience integrating knowledge graphs with LLM-based systems (RAG architectures, tool-augmented generation, agentic…

…embeddings, vector search, hybrid retrieval, and semantic ranking Experience integrating LLM models into production systems and enterprise applications Experience implementing Retrieval Augmented Generation (RAG…

…Design vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM reporting and Agentic AI. Standardization: Establish scalable data management frameworks…

…Navigate deep-dive sessions with backend and ML engineers. You speak the language of APIs, RAG (Retrieval-Augmented Generation), and latent space, aligning stakeholders…

…Retrieval augmented generation (RAG) - Semantic search - vector database and embedding models - Agent orchestration framework - Evaluation and monitoring framework of open-ended tasks - Streaming and…

…Deep experience with model evaluation, benchmarking, error analysis, and quality improvement for production ML systems. Solid understanding of transformer-based models, embeddings, retrieval systems…

…Experience with advanced prompt engineering, evaluation strategies, and optimization techniques for customer-facing AI applications. Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation…

…AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic…