Remote Senior Python AI Engineer – Production LLM & RAG

BairesDev

Colombia

Remote

COP 283,224,000 - 472,040,000

Full time

29 hours ago
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Benefits offered by this job

100% remote work
USD or local currency compensation
Hardware provided
Paid parental leave
Vacation and national holidays
Multicultural environment
Global mentorship and growth

Job summary

BairesDev is seeking a Python AI Engineer to build the agent and retrieval layer for an enterprise AI assistant, serving thousands of employees. You will own evaluation coverage and work primarily in Python with some frontend work as needed.

The role requires 5+ years in Python and production experience with LLMs, LangChain or LangGraph, and AWS. PST hours apply, and English fluency is essential for collaboration across teams.

Qualifications

  • 5+ years of experience with Python, 8+ years for lead-level scope.
  • Proven experience with LLM systems in production.
  • 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 over sources
AWS
English
PST hours

Tools

LangGraph
LangChain
React/TypeScript
Vector databases

Job description

BairesDev is seeking a Python AI Engineer to build the agent and retrieval layer for an enterprise AI assistant, serving thousands of employees. You will own evaluation coverage and work primarily in Python with some frontend work as needed.

The role requires 5+ years in Python and production experience with LLMs, LangChain or LangGraph, and AWS. PST hours apply, and English fluency is essential for collaboration across teams.

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