to Have: Hands-on experience with GenAI/LLMs, including prompt engineering, retrieval/RAG, embeddings, tool or function calling, fine...
AI-powered agents to automate tasks and improve user efficiency Build and maintain retrieval-augmented generation (RAG...+ years hands-on experience building and deploying LLM-based applications, including RAG architectures using orchestration...
quality insights to speed up triage and root cause identification Build RAG enabled support using data dictionaries pipeline...
develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM...
develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM...
support use casesImplementretrieval-augmented generation (RAG)using embeddings, vector search, and enterprise dataDevelop... withSnowflake Cortex AI and Google Vertex AIExperience withembeddings, vector databases, and RAG architecturesManufacturing...
: Familiarity with AWS, and/or Azure for scalable AI implementation Agentic AI & RAG: Designing autonomous agent systems... and Retrieval-Augmented Generation (RAG) pipelines. Microsoft Power Platform and Co-pilot experience preferred. MLOps/AIOps...
and structured outputs. Retrieval & Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g... automation platform (n8n, Make, Zapier, or similar) and building reliable integrations. Familiarity with RAG fundamentals...
AI copilots, chatbots, document intelligence solutions, and recommendation systems. Implement Retrieval Augmented Generation (RAG.... Proven experience with LLMs and foundation models in an enterprise context. Strong knowledge of RAG architectures and vector...
-on experience with at least one vector database (Azure AI Search, Pinecone, Qdrant, or PGVector) Understanding of RAG (Retrieval...