AI Platform Engineer Agent Infrastructure

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profile Job Location:

Mexico City - Mexico

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

AI Platform Engineer Agent Infrastructure

Contract 100% Remote (Mexico)

Were hiring an AI Platform Engineer Agent Infrastructure for a fast-growing AI automation company building intelligent agent systems and scalable backend infrastructure. Ideal for early-career engineers excited to work across backend services data systems and AI frameworks to support next-generation autonomous agents.

Role Overview

Youll help build and maintain the core infrastructure that powers a rapidly expanding fleet of AI agents. This includes backend APIs data pipelines vector search systems and cloud deployments. Youll work closely with AI and full-stack engineers to deliver reliable scalable and high-performance systems that support real production workloads. This is an excellent role for engineers eager to learn cutting-edge AI technologies and contribute to agent platforms used across industries.

What Youll Do

  • Design and implement RAG (retrieval-augmented generation) pipelines for agent memory and knowledge retrieval
  • Develop backend systems using Python frameworks (FastAPI Django Flask)
  • Build and optimize integrations with LangGraph LangChain and vector databases (Chroma Weaviate Pinecone)
  • Manage and monitor cloud environments using AWS (or equivalent in GCP/Azure)
  • Implement storage and data systems using S3 or other cloud storage platforms
  • Build CI/CD pipelines and containerized deployments (Docker GitHub Actions)
  • Implement monitoring observability and reliability systems for AI agents
  • Collaborate closely with AI and full-stack engineers to deliver robust platform components

Requirements

  • 1-3 years of experience in backend data or infrastructure engineering
  • Proficiency in Python with strong understanding of API backend or data layer development
  • Experience with or interest in LangChain LangGraph or AI system design
  • Familiarity with cloud infrastructure (AWS GCP or Azure)
  • Knowledge of containerization CI/CD and observability tools
  • Enthusiasm for learning AI infrastructure and contributing to production systems

Nice-to-Haves

  • Experience with vector databases S3 or data pipeline tools
  • Exposure to AI observability prompt evaluation or model testing
  • Experience with event-driven or serverless architectures

Why This Role

  • Collaborate with senior engineers on high-impact AI systems
  • Learn modern AI infrastructure while working on real production deployments
  • Work 100% remotely from anywhere in Mexico
  • Join a culture built on innovation trust and continuous learning
AI Platform Engineer Agent Infrastructure Contract 100% Remote (Mexico) Were hiring an AI Platform Engineer Agent Infrastructure for a fast-growing AI automation company building intelligent agent systems and scalable backend infrastructure. Ideal for early-career engineers excited to work across b...
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Key Skills

  • Jenkins
  • Ruby
  • Python
  • Active Directory
  • Cloud
  • PowerShell
  • Windows
  • AWS
  • Linux
  • SAN
  • Java
  • Troubleshoot
  • Backup
  • Puppet
  • hardware