Remote Python AI Engineer — Production LLM & RAG Expert

BairesDev; Valle del Cauca; Remote; COP 382,226,000 - 573,340,000; Full time

Benefits offered by this job

100% remote

Competitive USD or local salary

Home office hardware provided

Paid parental leave

Vacation and national holidays

Mentorship and career growth

Collaborate with global Top 1% talent

Job summary

BairesDev is seeking a Python AI Engineer to build the agent and retrieval layer for a production AI assistant that serves thousands of employees. You will own the evaluation coverage and work primarily in Python, with some frontend work for features.

The role offers 100% remote work and competitive compensation in USD or local currency. Ideal candidates have 5+ years of Python and hands-on experience with LLM systems, LangChain, and RAG pipelines.

Qualifications

• 5+ years of experience with Python, 8+ years for lead-level scope.
• Proven experience with LLM systems running in production, built, maintained, and evolved, not just taken from zero to one.
• Hands-on experience with LangChain or LangGraph.
• Experience with RAG over structured and unstructured sources.
• Experience with AWS.
• Availability to work PST hours.
• Advanced proficiency in English.

Responsibilities

• 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.

Skills

Python

LLM systems

LangChain

LangGraph

RAG

AWS

English

PST hours availability

Tools

Next.js

React

TypeScript

Job description

BairesDev is seeking a Python AI Engineer to build the agent and retrieval layer for a production AI assistant that serves thousands of employees. You will own the evaluation coverage and work primarily in Python, with some frontend work for features.

The role offers 100% remote work and competitive compensation in USD or local currency. Ideal candidates have 5+ years of Python and hands-on experience with LLM systems, LangChain, and RAG pipelines.