RAG Engineer - Remote work | REF
- Hiring from
- Dominican Republic
- Work type
- Remote
- Posted
- Oct 2, 2026
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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.
RAG Engineer at BairesDev
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.
What You'll Do
Apply now!
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.
RAG Engineer at BairesDev
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.
What You'll Do
- Architect and maintain scalable retrieval-augmented generation pipelines from end to end.
- Design advanced indexing strategies to ensure efficient data access and sub-second retrieval speeds.
- Optimize the integration between large language models and vector search infrastructure.
- Implement robust evaluation frameworks to continuously improve pipeline accuracy and response grounding.
- Collaborate with engineering teams to embed generative AI capabilities into production applications.
- 5+ years of experience in Software Engineering, AI Engineering, or related fields.
- Proven expertise in designing and deploying Retrieval-Augmented Generation (RAG) pipelines.
- Strong understanding of Generative AI architectures, Large Language Models (LLMs), and prompt engineering.
- Hands-on experience with vector databases and information retrieval systems.
- Advanced proficiency in English.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!