AI Platform Engineer

hace 6 días

Ciudad de México, Ciudad de México Crucial Recruiting A tiempo completo

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

You'll 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 You'll 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

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