, including RAG pipelines and agent-based workflows. Develop and maintain Python-based backend services exposing AI capabilities...-on experience building LLM-based applications, including RAG architectures. Solid understanding of backend systems, APIs...
English and Spanish Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications...
for sales and technical support use cases Implement retrieval-augmented generation (RAG) using embeddings, vector search... AI and Google Vertex AI Experience with embeddings, vector databases, and RAG architectures Manufacturing or industrial domain...
Familiarity with GenAI application architectures (RAG, agents, prompt orchestration, API-based LLM usage) Experience...
Architecture: Build and maintain scalable, high-performance backend services using Python to support AI-driven features. RAG... Implementation: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware...
or tooling. (prefer) Familiarity with concepts such as prompting, basic evaluation, or simple RAG patterns. Academic, personal...
integration, and working knowledge of large language models (LLM) and retrieval-augmented generation (RAG). Proficiency in data...
, prediction, copilots, automation) Experience with AI orchestration (AI Core, APIs, external models) Understanding of RAG, LLM...
, prediction, copilots, automation) Experience with AI orchestration (AI Core, APIs, external models) Understanding of RAG, LLM...
analytical solutions, including the use of large language models (LLMs), retrieval-augmented generation (RAG), and AI agents...