Remote Full-Stack Python AI Engineer — RAG & LLM Systems

BairesDev; Colombia; Remote; COP 389,395,000 - 584,093,000; Full time

Benefits offered by this job

100% remote

USD compensation

Hardware provided

Parental leave

Vacation

National holidays

Mentorship and growth

Job summary

BairesDev is seeking a Senior Full-stack Python AI Engineer to own features end to end in an enterprise AI assistant, collaborating across backend, frontend, and evaluation sets. You’ll work on a production-grade AI system with growth opportunities from Senior to Principal.

You will join a 100% remote, globally distributed team, work PST hours, and enjoy excellent compensation in USD or local currency. The role emphasizes mentorship, diverse growth, and a supportive environment.

Qualifications

• 5+ years of experience with Python, 8+ years for lead-level scope.
• Experience with LLM integration and RAG pipelines in production, using LangChain, LangGraph, or LlamaIndex.
• Working proficiency with React and TypeScript.
• Experience with AWS.
• Availability to work PST hours.
• Advanced proficiency in English.

Responsibilities

• Own features end to end, including agent and skill integrations, RAG pipelines, and supporting API services.
• Build and maintain frontend interfaces within an established design system.
• Validate agent behavior against evaluation sets rather than relying on spot checks.
• Balance work across the stack, with a backend lean of roughly 70/30.

Skills

Python

React

TypeScript

AWS

LLM integration

RAG pipelines

LangChain

LangGraph

LlamaIndex

English

Tools

Next.js

Vector search

Embeddings

Containers

Microservices

Job description

BairesDev is seeking a Senior Full-stack Python AI Engineer to own features end to end in an enterprise AI assistant, collaborating across backend, frontend, and evaluation sets. You’ll work on a production-grade AI system with growth opportunities from Senior to Principal.

You will join a 100% remote, globally distributed team, work PST hours, and enjoy excellent compensation in USD or local currency. The role emphasizes mentorship, diverse growth, and a supportive environment.