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BairesDev is seeking an AI Engineer specialized in Retrieval-Augmented Generation (RAG) to design and implement advanced RAG pipelines that bind LLMs to external knowledge bases, ensuring grounded and accurate responses.
You will work with Python and vector databases (Pinecone, Qdrant, Weaviate), develop chunking and reranking strategies, and evaluate system performance using established frameworks to deliver production-ready outputs.
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 an AI Engineer specialized in RAG, you will design and implement advanced retrieval-augmented generation systems to enhance the accuracy and reliability of large language models. You will connect generative AI with external knowledge bases, ensuring that responses are grounded in factual, domain-specific data while minimizing hallucinations.