Remote AI Backend Engineer — Flexible Contract

Alignerr

Chicago (IL)

On-site

USD 83,000 - 165,000

Part time

14 days+

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Job summary

Alignerr is seeking a Backend Developer to design, build, and optimize server-side systems and APIs powering AI products. You’ll work on data pipelines and model-serving infrastructure, plus scalable microservices that handle real-world traffic, all in a remote hourly contract.

You’ll collaborate with researchers and product leads across time zones, delivering clean, well-documented code and robust architectures that scale with demand.

Qualifications

  • Proven experience building back-end services and APIs.
  • Strong understanding of RESTful design and microservices.
  • Experience with relational and NoSQL databases and cloud platforms.

Responsibilities

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

Skills

Backend development
RESTful APIs
Distributed systems
Cloud platforms
Docker/Kubernetes
CI/CD
Asynchronous collaboration

Tools

Docker
Kubernetes
Git
PostgreSQL
MongoDB
Redis

Job description

Alignerr is seeking a Backend Developer to design, build, and optimize server-side systems and APIs powering AI products. You’ll work on data pipelines and model-serving infrastructure, plus scalable microservices that handle real-world traffic, all in a remote hourly contract.

You’ll collaborate with researchers and product leads across time zones, delivering clean, well-documented code and robust architectures that scale with demand.

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