Back End Developer (AI Infrastructure)

Alignerr; Montreal; Remote; CAD 55,000 - 110,000; Part time

Job summary

Alignerr Corp. is seeking a Back End Developer for a fully remote, hourly contract role open to engineers in Montreal and across Canada. You will design, build, and optimize server-side systems and APIs powering AI products, data pipelines, and scalable microservices that handle real-world traffic at scale.

You will work asynchronously with distributed teams, implement robust backend architectures, and contribute to production reliability while meeting project deadlines and schedules.

Qualifications

• Backend proficiency in Python/Go/Java/Node.js/Rust.
• Strong knowledge of RESTful APIs and microservices.
• Experience with relational and NoSQL databases.
• Cloud platforms experience (AWS, GCP, or Azure).

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

Backend development

RESTful APIs

Distributed systems

Cloud platforms

Docker Kubernetes

CI/CD

Git

Asynchronous work

Tools

PostgreSQL

MongoDB

Redis

AWS

GCP

Azure

Docker

Kubernetes

Job description

About The Role

What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We're looking for Back End Developers to design, build, and optimize the server-side systems and APIs that drive cutting-edge AI products — from data pipelines and model-serving infrastructure to scalable microservices that handle real-world traffic at scale.

This is a fully remote, flexible contract role open to engineers in Montreal and across Canada. Whether you're a seasoned engineer looking for meaningful project work or a strong developer ready to apply your skills to AI-adjacent infrastructure, this is your chance to build things that matter.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• 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

Who You Are

• Proficient in one or more back end languages — Python, Go, Java, Node.js, Rust, or similar
• Solid understanding of RESTful API design, microservices architecture, and distributed systems
• Experienced with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis, etc.)
• Comfortable working with cloud platforms such as AWS, GCP, or Azure
• Familiar with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes)
• Strong problem-solving skills and the ability to debug complex systems independently
• Self-motivated, reliable, and effective when working asynchronously without close supervision
• Clear communicator who can document decisions and collaborate across time zones

Nice to Have

• Experience building infrastructure for machine learning or AI systems
• Familiarity with data processing frameworks (Apache Kafka, Spark, Airflow, or similar)
• Background in performance optimization, caching strategies, or high-throughput systems
• Knowledge of authentication, authorization, and security best practices
• Experience with serverless architectures or event-driven design patternsContributions to open-source projects or a strong portfolio of personal/professional work

Why Join Us

• Work on cutting-edge AI infrastructure projects alongside leading research labs
• Fully remote and flexible — set your own hours and work from anywhereFreelance autonomy with access to meaningful, technically challenging workBuild systems at the intersection of software engineering and artificial intelligence
• Collaborate with a global network of talented engineers and researchersPotential for ongoing work and contract extension as new projects launch