Remote Full-Stack Python AI Engineer — LLM/RAG Focus

BairesDev; United States; Remote; MXN 1,119,000 - 2,425,000; Full time

Benefits offered by this job

100% remote

Salary in USD or local currency

Home office setup

Parental leave

Vacation & holidays

Global mentorship

Job summary

BairesDev is hiring a Full-stack Python AI Engineer to own features end to end for an enterprise AI assistant used by thousands of employees. You will manage agent and skill integrations, RAG pipelines, and backend services, while also contributing to frontend work within our design system.

The role emphasizes production-grade AI systems with growth potential from Senior to Principal. Remote work is 100% available, with strong compensation in USD or local currency and global collaboration.

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.
• Balance work across the stack, with a backend lean of roughly 70/30.

Skills

Python

LLM integration

RAG pipelines

React

TypeScript

AWS

English

Tools

LangChain

LangGraph

LlamaIndex

Next.js

Docker

Kubernetes

Job description

BairesDev is hiring a Full-stack Python AI Engineer to own features end to end for an enterprise AI assistant used by thousands of employees. You will manage agent and skill integrations, RAG pipelines, and backend services, while also contributing to frontend work within our design system.

The role emphasizes production-grade AI systems with growth potential from Senior to Principal. Remote work is 100% available, with strong compensation in USD or local currency and global collaboration.