I AM HIRED

Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

LLM Engineer (RAG) - Remote Work — Latin America

ML и AI, AI-инженерия · вчера, 19:11 · 12.11.2026

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Компания: ••••••••

Локация: Latin America

Формат: не указан

Занятость: Полная занятость

Грейд: Senior

At Dg8Cyx4rR®, 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.

LLM Engineer (RAG) at Dg8Cyx4rR

As an LLM Engineer specializing in RAG, you will design and implement advanced retrieval-augmented generation systems to ground large language models with external knowledge. You will connect complex data architectures with generative AI, ensuring that model outputs are accurate, context-aware, and factual.

What You'll Do:

- Design and manage high-performance vector database architectures using tools like Pinecone, Qdrant, or Weaviate.

- Develop and optimize data ingestion pipelines, implementing effective chunking and embedding strategies for unstructured data.

- Implement sophisticated reranking algorithms and hybrid search patterns to improve retrieval precision and recall.

- Build and maintain evaluation frameworks like RAGAS to measure and ensure the quality of generated responses.

- Optimize the end-to-end RAG pipeline for low latency and high throughput in production environments.

What we are looking for:

- 4+ years of experience in AI Engineering, Data Engineering, or Software Engineering.

- Proven expertise in building and optimizing RAG pipelines and hybrid search.

- Advanced proficiency in Python and working with vector databases like Pinecone, Qdrant, or Weaviate.

- Solid understanding of embeddings, chunking strategies, and reranking algorithms.

- Experience with evaluation frameworks such as RAGAS to ensure model performance.

- 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!

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