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...
experience. Hands-on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning. Solid understanding of NLP...
with AI frameworks, particularly LangChain or LlamaIndex Hands-on experience with LLMs and RAG patterns for retrieval-based systems...
Handling at Scale (SQL y NoSQL, FAISS, Pinecone, Weaviate, ChromaDB) ? Experiencia en LLM Frameworks & Agents / RAG Systems...
capacity & cost modeling. Applied AI/ML Translate product and clinical use cases into model-enabled features (RAG, agents...
. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps...
Generation (RAG). This role involves designing and optimizing complex models, collaborating with clients to integrate AI/ML...
. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps...
(e.G., AWS, Azure, GCP) and their advanced solution offerings, including Retrieval-Augmented Generation (RAG), Large...
. AI Agent Development: Implement RAG systems with embeddings, vector stores, and Gemini , integrating structured...