Remote Backend Engineer — AI Infrastructure

Alignerr Corp.; United States; Remote; USD 55,000 - 165,000; Part time

Job summary

Alignerr is seeking Back End Developers to design, build, and optimize the server-side systems and APIs powering cutting-edge AI products. This is a remote hourly contract with 10-40 hours per week, offering flexible scheduling and ongoing project work.

You will develop data pipelines and model-serving infrastructure, plus scalable microservices to handle real-world traffic at scale. Collaborate asynchronously with a distributed team across time zones and contribute to architectural decisions.

Qualifications

• Proficient in one or more back end languages: Python, Go, Java, Node.js, or Rust.
• Strong RESTful API design, microservices, and distributed systems knowledge.
• Experience with relational and/or NoSQL databases and cloud platforms.

Responsibilities

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

Skills

Python

Go

Java

Node.js

Rust

RESTful API design

Microservices architecture

Distributed systems

Problem solving

Asynchronous collaboration

Tools

PostgreSQL

MongoDB

Redis

AWS

GCP

Azure

Git

CI/CD

Docker

Kubernetes

Job description

Alignerr is seeking Back End Developers to design, build, and optimize the server-side systems and APIs powering cutting-edge AI products. This is a remote hourly contract with 10-40 hours per week, offering flexible scheduling and ongoing project work.

You will develop data pipelines and model-serving infrastructure, plus scalable microservices to handle real-world traffic at scale. Collaborate asynchronously with a distributed team across time zones and contribute to architectural decisions.