Senior Python AI Engineer – Remote LLM Systems

BairesDev; Valle del Cauca; A distancia; COP 409.862.000 - 567.501.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

USD or local currency

Hardware provided

Parental leave

Paid vacation

National holidays

Multicultural environment

Global team learning

Mentorship program

Promotions path

Descripción de la vacante

BairesDev is hiring a Python AI Engineer to build the agent and retrieval layer of an enterprise AI assistant serving thousands of employees. This is a production system, not a greenfield, and you’ll work primarily in Python with some frontend work as features require.

Requirements: 5+ years Python (8+ for lead), production LLM experience, LangChain or LangGraph, RAG over sources, AWS, and English proficiency; PST hours. 100% remote with USD or local currency pay and a global, multicultural team.

Formación

• 5+ years of Python development in production systems.
• 8+ years for lead-level scope.
• Proven production experience with LLM systems.
• Hands-on with LangChain or LangGraph.
• Experience with RAG over structured and unstructured sources.
• Experience with AWS.
• Availability to work PST hours.
• Advanced proficiency in English.

Responsabilidades

• Build agent and retrieval capabilities for a production AI assistant.
• Build LangGraph flows and RAG pipelines over structured and unstructured sources.
• Hold evaluation coverage on the AI behavior you ship.
• Extend the existing Next.js front end where your features require it.

Conocimientos

Python

LLM systems

LangChain

LangGraph

RAG

AWS

English

PST hours

Herramientas

Next.js

React

TypeScript

LangChain

LangGraph

AWS

Descripción del empleo

BairesDev is hiring a Python AI Engineer to build the agent and retrieval layer of an enterprise AI assistant serving thousands of employees. This is a production system, not a greenfield, and you’ll work primarily in Python with some frontend work as features require.

Requirements: 5+ years Python (8+ for lead), production LLM experience, LangChain or LangGraph, RAG over sources, AWS, and English proficiency; PST hours. 100% remote with USD or local currency pay and a global, multicultural team.