Remote Back-End Engineer, AI Infrastructure (Contract)

Alignerr Corp.; Województwo pomorskie; Remote; PLN 83,000 - 152,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Challenging AI infrastructure projects

Job summary

Alignerr is seeking a Back End Developer to design, build, and optimize server-side systems and APIs powering AI products. The role focuses on data pipelines, model-serving infrastructure, and scalable microservices handling real-world traffic at scale.

This is a fully remote, hourly contract role open to engineers across Poland. You’ll work with distributed teams and contribute to AI-adjacent infrastructure, delivering impactful systems on your own schedule.

Qualifications

• 3+ years in backend development
• Experience building APIs and data pipelines
• Familiarity with cloud deployments and microservices

Responsibilities

• Design, develop, and maintain robust back end services, APIs, and data pipelines
• Build scalable server-side architecture to support AI workloads
• Write clean, well-documented, and testable code
• Integrate with databases, queues, cloud services, and third-party APIs
• Optimize performance, reliability, and scalability
• Collaborate asynchronously with distributed teams across time zones
• Troubleshoot production issues and contribute to architecture decisions
• Work independently on task- or project-based assignments

Skills

Python/Go/Java/Node.js/Rust

RESTful APIs

PostgreSQL

MongoDB/Redis

AWS/GCP/Azure

Docker/Kubernetes

Git & CI/CD

Distributed systems

Asynchronous collaboration

Problem solving

Tools

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

Job description

Alignerr is seeking a Back End Developer to design, build, and optimize server-side systems and APIs powering AI products. The role focuses on data pipelines, model-serving infrastructure, and scalable microservices handling real-world traffic at scale.

This is a fully remote, hourly contract role open to engineers across Poland. You’ll work with distributed teams and contribute to AI-adjacent infrastructure, delivering impactful systems on your own schedule.