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.

AI Engineer (RAG) at BairesDev

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.

What You'll Do:
- Design and optimize end-to-end RAG pipelines, including ingestion, cleaning, chunking, and embedding workflows.




- Implement and manage high-performance vector databases to enable efficient semantic and hybrid search.
- Develop sophisticated chunking and reranking strategies to improve the precision and contextual relevance of retrieved information.
- Evaluate and benchmark RAG system performance using established frameworks to ensure high-quality, production-ready outputs.
- Collaborate with data and software teams to integrate RAG capabilities into enterprise-grade applications and workflows.
- Research and apply emerging techniques in retrieval-augmented generation, such as agentic RAG and context compression.

What we are looking for:
- 4+ years of experience in AI Engineering, Machine Learning, or Software Engineering.
- Proven expertise in implementing Retrieval-Augmented Generation (RAG) architectures and hybrid search.
- Advanced proficiency in Python and working with vector databases like Pinecone, Qdrant, or

📌 AI Engineer (Colombia)
🏢 BairesDev
📍 Colombia