. This role is pivotal in architecting end-to-end AI solutions—leveraging LLMs, RAG pipelines, vector databases, and Rust... databases, RAG pipelines) into production-ready applications;Work deeply in the existing web app codebase, enhancing core...
, and RAG-ready knowledge layers. Project Gating & Authority: Act as the final design authority for all major infrastructure... for the Analysis Auto-Builder Agent, defining retrieval targets and metadata strategies to enable RAG-style workflows...
of large language models (LLMs), retrieval-augmented generation (RAG), and AI agents or multi-agent workflows to automate...
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...
use of large language models (LLMs), retrieval-augmented generation (RAG), and AI agents or multi-agent workflows...
, including Prometheus and Grafana;- Familiarity with Retrieval-Augmented Generation (RAG) models;- Experience with document...
de componentes front-end MetodologÃa Scrum. Conocimientos en sistema RAG Experiencia con LLM. Ofrecemos: Sueldo base 100% nómina...
features and consumes RAG/LLM components built by the AI/ML Engineer. Performs preliminary technical testing on all personal...
, including Prometheus and Grafana;- Familiarity with Retrieval-Augmented Generation (RAG) models;- Experience with document...
, including Prometheus and Grafana;- Familiarity with Retrieval-Augmented Generation (RAG) models;- Experience with document...