…prompt engineering, Retrieval-Augmented Generation (RAG) strategies, and model fine-tuning. Latent Pattern Recognition: Apply advanced ML techniques (e.g., embedding-based clustering, representation…

…Later in the week, you're on-site running a workshop where a customer's ML team is building their first retrieval-augmented generation…

…generate, refactor, and review embedded C/C++ at scale. Ability to build and maintain AI-augmented developer workflows : prompt libraries, agent rules, retrieval-augmented…

…including Retrieval-Augmented Generation (RAG) pipelines, agentic AI systems, and LLM-powered workflows Architect AI systems with production-level concerns: scalability, cost management, latency…

…of LLM application architecture, vector databases, Retrieval-Augmented Generation (RAG), and evaluation frameworks. High proficiency in Python and SQL, with experience building functional applications…

…Service and Azure AI Foundry, including model deployment, capacity management, embeddings, and integration with Azure AI Search (Vector Search). RAG (Retrieval-Augmented Generation) Ability…

…containers and serverless architectures Experience with retrieval-augmented generation approaches, including embeddings and semantic search, and practical context engineering Proficiency building APIs and service…

…efficiency, and safe deployment in production environments. Leverage modern AI technologies such as large language models, embeddings, vector stores, and retrieval-augmented generation to…

…Generative AI Skills, AI Agents and Agentic workflows, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP). Working…

…agent tool discovery and invocation. - Hands-on experience with retrieval-augmented generation (RAG), vector databases, and knowledge base configuration for production AI systems. - AWS…

…Design and implement multi-agent frameworks enabling coordination, delegation, and dynamic task execution Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory…

…summarization, reasoning, and recommendation use cases Design, deploy, and manage prompt-based and retrieval-augmented generation systems, including orchestration patterns and agentic workflows such…

…Experience with retrieval, ranking, recommendation, search, or personalization systems. Familiarity with embeddings, retrieval-augmented generation (RAG), context management, or memory architecture. Experience partnering with…

…Later in the week, you're on-site running a workshop where a customer's ML team is building their first retrieval-augmented generation…

…Later in the week, you're on-site running a workshop where a customer's ML team is building their first retrieval-augmented generation…

…You must have experience with embedding model fine tuning and retrieval method evaluation approaches. You should understand the security and compliance requirements for ML…

…Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions. Preferred…

…such as GPU optimization, fine-tuning, embedding models, inference optimization, prompt engineering, evaluation, and retrieval-augmented generation Practical cloud-native experience, especially with Amazon…

…LangGraph, Autogen, CrewAI and A2A etc) Experience building retrieval-augmented generation solutions (embeddings, semantic search, grounding) using Vector databases and managing prompt lifecycle/versioning…

…prompt safety, retrieval-augmented generation, model context management, tool calling, multi-agent coordination, and responsible AI design Own the integration architecture strategy across the…

…5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains…

…Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions…

…Retrieval-Augmented Generation (RAG) pipelines, embedding workflows, vector database integrations, and metadata services for enterprise AI applications. Build scalable platform capabilities for managing the…

…retrieval-augmented generation (RAG) patterns that enable AI to access brand, audience, and messaging context when generating content Deep familiarity with content lifecycle management…