AI Engineer (RAG) - Remote Work

BairesDev; Colombia; Remote; COP 356,022,000 - 517,850,000; Full time

Benefits offered by this job

Remote work

Competitive USD salary

Home office setup

Flexible hours

Parental leave

Multicultural environment

Mentorship

Job summary

BairesDev is seeking an AI Engineer (RAG) to design and implement retrieval-augmented generation systems that ground responses in domain data. You will connect generative AI with external knowledge bases, reducing hallucinations and improving reliability.

The role emphasizes end-to-end RAG pipelines, vector databases, embeddings, and evaluating model-grounded performance, with a strong collaboration across teams. Remote, USD compensation offered.

Qualifications

• 4+ years in AI engineering, ML, or software engineering.
• Proven RAG implementations and hybrid search experience.
• Hands-on with embeddings, chunking, and reranking techniques.
• Experience with evaluation frameworks like RAGAS.

Responsibilities

• Design end-to-end RAG pipelines including ingestion and embedding workflows.
• Manage high-performance vector databases for semantic search.
• Develop chunking and reranking to boost relevance and grounding.
• Benchmark RAG systems to ensure production-grade outputs.
• Collaborate with data/software teams to integrate RAG into apps.
• Explore agentic RAG and context compression techniques.

Skills

RAG architectures

Python

Vector databases

Embeddings

Chunking strategies

Reranking

English proficiency

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.