Remote AI Infrastructure Backend Engineer

Alignerr Corp.; Miami (FL); Remote; USD 69,000 - 124,000; Part time

Job summary

Alignerr Corp. is seeking Back End Developers in a fully remote, hourly contract role to design, build, and optimize server-side systems and APIs powering AI products.

You will work on data pipelines, model-serving infrastructure, and scalable microservices handling real-world traffic at scale. Ideal candidates are proficient in one or more backend languages, with strong RESTful API design, distributed systems experience, and familiarity with AWS/GCP/Azure, Docker, Kubernetes, Git, and CI/CD.

Qualifications

• Proficient in one or more backend languages (Python, Go, Java, Node.js, Rust).
• Strong understanding of RESTful API design and microservices architecture.
• Experience with distributed systems and scalable backend infrastructure.
• Familiarity with relational and NoSQL databases (PostgreSQL, MongoDB, Redis).

Responsibilities

• Design, develop, and maintain robust back end services, APIs, and data pipelines.
• Build scalable 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

Backend languages

RESTful APIs

Microservices

Distributed systems

Problem solving

Self‑driven

Tools

Docker

Kubernetes

Git

CI/CD

PostgreSQL

MongoDB

Redis

Job description

Alignerr Corp. is seeking Back End Developers in a fully remote, hourly contract role to design, build, and optimize server-side systems and APIs powering AI products.

You will work on data pipelines, model-serving infrastructure, and scalable microservices handling real-world traffic at scale. Ideal candidates are proficient in one or more backend languages, with strong RESTful API design, distributed systems experience, and familiarity with AWS/GCP/Azure, Docker, Kubernetes, Git, and CI/CD.