in developing prototypes using RAG concepts, embeddings, and multi-step AI workflows, contributing to solutions that are validated... AI/LLM project, such as: Using OpenAI/Azure OpenAI/Gemini APIs for automation Building a working RAG or embedding-based...
integrated solutions that leverage the latest technology has to offer including AI/ML, GenAI technology (LLMs, RAG, low-latency... design & development of AI/ML and GenAI integrated solutions with LLMs, RAG, agentic workflows, and conversational...
advanced retrieval-augmented generation (RAG) pipelines, craft agentic workflows, and develop Semantic Kernel plugins that push... Azure OpenAI and Azure AI Services. Design and implement RAG pipelines using Azure AI Search for hybrid retrieval...
advanced retrieval-augmented generation (RAG) pipelines, craft agentic workflows, and develop Semantic Kernel plugins that push... Azure OpenAI and Azure AI Services. Design and implement RAG pipelines using Azure AI Search for hybrid retrieval...
advanced retrieval-augmented generation (RAG) pipelines, craft agentic workflows, and develop Semantic Kernel plugins that push... Azure OpenAI and Azure AI Services. Design and implement RAG pipelines using Azure AI Search for hybrid retrieval...
, Chroma). Knowledge of LLM RAG/agent architectures. Familiarity with Helm, Neo4j, GraphQL, Jenkins, and additional AWS...
effective RAG (retrieval-augmented generation) pipelines with robust chunking, embedding model selection, and vector store...
-learn). Understanding of modern ML architectures: including RAG, prompt chaining, and agent-based workflows. Awareness...
, Chroma). Knowledge of LLM RAG/agent architectures. Familiarity with Helm, Neo4j, GraphQL, Jenkins, and additional AWS...
-as-code (Terraform), containerization (Docker/Kubernetes) Develop AI/ML solutions—implement GraphRAG pipelines, RAG... environments Highly Desired (What Makes You Stand Out) AI/ML production experience—especially with LLMs, RAG architectures...