Remote Backend Engineer – AI Infrastructure

Alignerr Corp.; Austin (TX); Remote; USD 55,000 - 110,000; Part time

Job summary

Alignerr is seeking Back End Developers in Austin to design, build, and optimize server-side systems and APIs powering AI infrastructure. This fully remote, hourly-contract role offers flexible hours and the chance to work on data pipelines and model-serving infrastructure.

You will collaborate with distributed teams, write testable code, and contribute to scalable microservices, databases, and cloud integrations, all while delivering meaningful, real-world AI workloads.

Qualifications

• Proficient in one or more back end languages (Python, Go, Java, Node.js, Rust).
• Experience with RESTful APIs, microservices, and distributed systems.

Responsibilities

• Design, develop, and maintain robust back end services, APIs, and data pipelines.
• Build scalable, high-performance server-side architecture to support AI training and inference workloads.
• Write clean, well-documented, and 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, researchers, and product leads.
• Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions.
• Work independently on task-based and project-based assignments on your own schedule.

Skills

Python

Go

Java

Node.js

Rust

REST APIs

Distributed systems

PostgreSQL

MongoDB

Redis

AWS

GCP

Azure

Docker

Kubernetes

Git

CI/CD

Tools

PostgreSQL

MongoDB

Redis

AWS

GCP

Azure

Docker

Kubernetes

Git

CI/CD

Job description

Alignerr is seeking Back End Developers in Austin to design, build, and optimize server-side systems and APIs powering AI infrastructure. This fully remote, hourly-contract role offers flexible hours and the chance to work on data pipelines and model-serving infrastructure.

You will collaborate with distributed teams, write testable code, and contribute to scalable microservices, databases, and cloud integrations, all while delivering meaningful, real-world AI workloads.