Remote Backend Engineer for AI Infrastructure

Alignerr Corp.

Denver (CO)

Remote

USD 83,000 - 138,000

Part time

27 hours ago
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Job summary

Alignerr Corp. is seeking a back end developer to design, build, and optimize server-side systems and APIs powering AI products. You will handle data pipelines, model-serving infrastructure, and scalable microservices for real-world traffic.

This fully remote, hourly contract role invites engineers across the US to contribute to AI-adjacent infrastructure and meaningful project work at scale.

Qualifications

  • Proficient in Python, Go, Java, Node.js, or Rust for backend development.
  • Strong understanding of RESTful APIs, microservices, and distributed systems.
  • Experience with relational and NoSQL databases (PostgreSQL, MongoDB, Redis).
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Familiar with Git, CI/CD, and Docker/Kubernetes.

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
RESTful API design
Microservices
Distributed systems
CI/CD
Git
Async collaboration
Problem-solving
Documentation

Tools

Docker
Kubernetes
AWS
GCP
Azure
PostgreSQL
MongoDB
Redis
Git
CI/CD
Apache Kafka
Spark
Airflow

Job description

Alignerr Corp. is seeking a back end developer to design, build, and optimize server-side systems and APIs powering AI products. You will handle data pipelines, model-serving infrastructure, and scalable microservices for real-world traffic.

This fully remote, hourly contract role invites engineers across the US to contribute to AI-adjacent infrastructure and meaningful project work at scale.

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