Remote Backend Engineer for AI Infrastructure & APIs

Alignerr Corp.; Monterrey; A distancia; MXN 344.000 - 689.000; A tiempo parcial

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.