AI Engineer (RAG) - Remote Work

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 Weaviate.

- Hands-on experience with chunking strategies, embeddings, and reranking techniques.

- Familiarity with evaluation frameworks such as RAGAS to ensure model performance and groundedness.

- Advanced proficiency in English.

How we do make your work (and your life) easier:

- 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 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 and become part of a global team where your unique talents can truly thrive!