AI Engineer (RAG) - Remote Work

BairesDev; United States; Remote; MXN 1,862,000 - 3,352,000; Full time

Benefits offered by this job

Remote work (100%)

Competitive compensation in USD or own

Home office setup

Flexible hours

Paid time off

Growth and mentorship

Job summary

BairesDev seeks an AI Engineer specialized in Retrieval-Augmented Generation (RAG) to join our remote-first team. You will design end-to-end RAG pipelines, connect external knowledge bases, and optimize vector databases to deliver grounded, high-quality outputs.

You will collaborate with data and software teams across the globe, apply cutting-edge techniques, and help scale enterprise-grade applications while enjoying flexible hours and a fully remote setup.

Qualifications

• 4+ years of experience in AI engineering, ML, 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.

Responsibilities

• 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.

Skills

RAG architectures

Hybrid search

Python

Vector databases

Tools

Pinecone

Qdrant

Weaviate

Job description

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.