RAG AI Engineer - Remote, Flexible Hours, Global Impact

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

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.