Remote Back-End Engineer — AI Infrastructure & APIs

Alignerr Corp.

Atlanta (GA)

On-site

USD 83,000 - 165,000

Part time

30 hours ago
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Job summary

Alignerr is seeking a Remote Back End Developer to design, build, and optimize server-side systems and APIs for AI-related workloads. The role focuses on data pipelines, model-serving infra, and scalable microservices that handle real-world traffic.

You will work independently in a fully remote, hourly contract with flexible hours, contributing meaningfully to AI infrastructure projects and collaborating with a global team of engineers and researchers.

Qualifications

  • Proficient in one or more backend languages (Python/Go/Java/Node.js/Rust).
  • Strong understanding of RESTful APIs, microservices, and distributed systems.
  • Experience with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis).
  • Comfortable with cloud platforms such as AWS/GCP/Azure.
  • Familiar with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).
  • Able to debug complex systems and work asynchronously across time zones.

Responsibilities

  • Design, develop, and maintain robust backend services, APIs, and data pipelines.
  • Build scalable server-side architecture to support AI training and inference workloads.
  • Write clean, well-documented, testable code following engineering best practices.
  • Integrate with databases, message queues, cloud services, and third-party APIs.
  • Optimize system performance, reliability, and scalability as usage grows.
  • Collaborate asynchronously with distributed teams of engineers and researchers.
  • Troubleshoot production issues, conduct code reviews, and contribute to architecture decisions.
  • Work independently on task-based and project-based assignments on your own schedule.

Skills

Python
Go
Java
Node.js
Rust

Tools

PostgreSQL
MongoDB
Redis
AWS
GCP
Azure
Git
CI/CD
Docker
Kubernetes

Job description

Alignerr is seeking a Remote Back End Developer to design, build, and optimize server-side systems and APIs for AI-related workloads. The role focuses on data pipelines, model-serving infra, and scalable microservices that handle real-world traffic.

You will work independently in a fully remote, hourly contract with flexible hours, contributing meaningfully to AI infrastructure projects and collaborating with a global team of engineers and researchers.

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