AI Engineer (RAG) - Remote Work | REF
- Hiring from
- Colombia, Mexico
- Work type
- Remote
- Posted
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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.
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
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
Apply now!
- 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.
- 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!
