Remote AI Engineer (RAG) – Grounded-Answers Expert

BairesDev; Colombia; Remote; COP 381,934,000 - 572,902,000; Full time

Benefits offered by this job

100% remote

USD compensation or local currency

Hardware and home setup support

Flexible hours

Parental leaves and holidays

Multicultural global team

Mentorship and growth opportunities

Job summary

BairesDev is seeking an AI Engineer (RAG) to design and implement retrieval-augmented generation systems that ground responses in factual data and reduce hallucinations. You will build end-to-end RAG pipelines, manage vector databases, and develop chunking and reranking strategies, collaborating with data and software teams across the enterprise.

The role is 100% remote, offers USD compensation or local currency, and provides flexible hours, home setup support, and opportunities for mentorship

Qualifications

• 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.

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

AI engineering

ML

Python

Tools

Pinecone

Qdrant

Weaviate

RAGAS

Embeddings

Job description

BairesDev is seeking an AI Engineer (RAG) to design and implement retrieval-augmented generation systems that ground responses in factual data and reduce hallucinations. You will build end-to-end RAG pipelines, manage vector databases, and develop chunking and reranking strategies, collaborating with data and software teams across the enterprise.

The role is 100% remote, offers USD compensation or local currency, and provides flexible hours, home setup support, and opportunities for mentorship