Remote Backend Engineer for AI Infrastructure & APIs

Alignerr Corp.

Monterrey

A distancia

MXN 344.000 - 689.000

A tiempo parcial

hace 7 horas
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Descripción de la vacante

Alignerr is seeking Back End Developers to design, build, and optimize server-side systems and APIs powering AI products. This fully remote, hourly contract role accepts engineers across Mexico, offering flexible hours and project-based work.

You will craft robust back end services, data pipelines, and scalable microservices, collaborating asynchronously with a distributed team to deliver reliable AI infrastructure at scale.

Formación

  • Proficient in one or more back end languages such as Python, Go, Java, Node.js, or Rust.
  • Strong knowledge of RESTful API design and microservices.
  • Experience with relational and NoSQL databases.
  • Familiar with cloud platforms and containerization (Docker, Kubernetes).
  • Strong problem-solving and ability to work asynchronously.

Responsabilidades

  • Design, develop, and maintain back end services, APIs, and data pipelines.
  • Build scalable server-side architecture for AI workloads.
  • Write clean, well-documented, testable code.
  • Integrate databases, message queues, cloud services, and third-party APIs.
  • Optimize performance and reliability as usage grows.
  • Collaborate asynchronously with distributed teams of engineers and researchers.
  • Troubleshoot production issues and conduct code reviews.
  • Work independently on task- and project-based assignments.

Conocimientos

RESTful APIs
Microservices
Distributed systems
Python
Go/Java/Node.js

Herramientas

PostgreSQL
MongoDB
Redis
AWS/GCP/Azure
Git
Docker
Kubernetes

Descripción del empleo

Alignerr is seeking Back End Developers to design, build, and optimize server-side systems and APIs powering AI products. This fully remote, hourly contract role accepts engineers across Mexico, offering flexible hours and project-based work.

You will craft robust back end services, data pipelines, and scalable microservices, collaborating asynchronously with a distributed team to deliver reliable AI infrastructure at scale.

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