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BairesDev is seeking a RAG Engineer to design and deploy Retrieval-Augmented Generation pipelines, connecting modern generative AI models with information retrieval systems. The role focuses on end-to-end pipeline architecture, advanced indexing, and production-ready integration with LLMs.
You will work with a global, remote team, leveraging vector databases, and state-of-the-art AI architectures, while contributing to production-ready AI capabilities across applications.
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting‑edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
As a RAG Engineer, you will design and deploy advanced Retrieval‑Augmented Generation pipelines. You will connect modern generative AI models with specialized information retrieval architectures to deliver context‑aware, highly accurate intelligent systems.