Remote AI Engineer (Python): LLM & RAG Pipelines

BairesDev

Bogotá ciudad

Remote

COP 350,374,000 - 477,783,000

Full time

11 hours ago
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Benefits offered by this job

Remote work
USD compensation
Home office setup
Flexible hours
Paid parental leave
Global team

Job summary

BairesDev is seeking an AI Engineer (Python) to design and implement production-grade AI systems leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures. You will connect advanced AI research with production-ready applications, ensuring automation is integrated into business workflows.

This role offers 100% remote work, competitive USD compensation, flexible hours, and a collaborative, globally distributed team focused on growth and impact.

Qualifications

  • 4+ years of experience in AI/ML software development.
  • Proven experience with Large Language Models (LLMs).
  • Hands-on experience designing Retrieval-Augmented Generation (RAG) pipelines.

Responsibilities

  • Develop production-grade AI applications using Python and orchestration tools.
  • Design and implement RAG pipelines to improve model accuracy with external data.
  • Integrate LLM APIs and vector databases for complex reasoning and semantic search.
  • Architect scalable data pipelines for AI/ML workflows.
  • Collaborate with cross-functional teams to align AI strategy with business needs.
  • Monitor model performance for reliability, safety, and efficiency.

Skills

Python
LLMs
RAG pipelines
LangChain
AWS
English
AI Engineering

Tools

LangChain
Vector databases
LLM APIs

Job description

BairesDev is seeking an AI Engineer (Python) to design and implement production-grade AI systems leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures. You will connect advanced AI research with production-ready applications, ensuring automation is integrated into business workflows.

This role offers 100% remote work, competitive USD compensation, flexible hours, and a collaborative, globally distributed team focused on growth and impact.

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