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AI Platform Engineer (Agent Infrastructure)

AI Platform Engineer (Agent Infrastructure)

EasyBee AIMexico
Hace 1 día
Descripción del trabajo

Contract | 100% Remote (Mexico)

Empowering Businesses with AI That Works Like Magic

At EasyBee.AI, we’re transforming how growing ventures operate. Our AI‑driven “smart helpers” automate, personalize, and elevate business operations, making every task effortless and uniquely human.

We’re looking for early‑career engineers excited to build the next generation of AI Agents, tools that think, reason, and act autonomously. You’ll work across front‑end, backend, and AI integration layers to create engaging, intelligent user experiences powered by LangGraph and modern LLM frameworks.

If you’re curious, creative, and eager to learn the newest AI technologies, you’ll fit right in.

What You’ll Build

As an AI Platform Engineer, you’ll help develop and maintain the infrastructure that supports our growing fleet of intelligent agents.

  • Design and implement retrieval‑augmented generation (RAG) pipelines for agent memory and knowledge retrieval.
  • Develop backend systems using Python (FastAPI, Django, or Flask).
  • Build and optimize integrations with LangGraph, LangChain, and Vector Databases (Chroma, Weaviate, Pinecone).
  • Manage and monitor cloud environments using AWS, or equivalent experience in GCP or Azure.
  • Implement storage and data systems using S3 or other cloud storage solutions.
  • Build CI / CD pipelines and containerized deployments with Docker and GitHub Actions.
  • Implement monitoring and observability for agent performance and reliability.
  • Collaborate closely with AI and Full Stack engineers to deliver robust, scalable systems.

What Makes You a Great Fit

  • 1–3 years of experience in backend, data, or infrastructure engineering.
  • Proficiency in Python and a strong grasp of API or data layer development.
  • Experience with or interest in LangChain, LangGraph, and AI system design.
  • Familiarity with cloud infrastructure (AWS, GCP, or Azure).
  • Understanding of containerization, CI / CD, and monitoring tools.
  • Enthusiasm for learning AI infrastructure and contributing to real production systems.
  • Nice‑to‑Haves

  • Experience with vector databases, S3, or data pipeline tools.
  • Exposure to prompt evaluation, AI observability, or model testing.
  • Prior work with event‑driven or serverless architectures.
  • Why You’ll Love Working with EasyBee

  • Collaborate with senior engineers on high‑impact AI systems.
  • Learn cutting‑edge AI infrastructure while contributing to production systems.
  • Work 100% remotely from anywhere in Mexico.
  • Join a culture built on innovation, trust, and continuous learning.
  • #J-18808-Ljbffr

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