Back End Developer (AI Infrastructure)

Alignerr Corp.; Vancouver; Remote; CAD 83,000 - 131,000; Full time

Job summary

Alignerr seeks Back End Developers in Vancouver to design and optimize server-side systems and APIs powering cutting-edge AI products, from data pipelines to scalable microservices handling real-world traffic.

This is a fully remote hourly contract role, offering flexible hours and the opportunity to work with a global team of engineers and researchers on AI infrastructure.

Qualifications

• Proficient in backend languages and RESTful API design.
• Experience with scalable microservices and distributed systems.
• Familiar with cloud platforms and containerization.

Responsibilities

• Design, develop, and maintain back end services and data pipelines.
• Build scalable server-side architecture for AI training and inference.
• Write clean, well-documented code and tests.
• Integrate with databases, queues, cloud services, and APIs.
• Optimize performance, reliability, and scalability as usage grows.
• Collaborate asynchronously with distributed teams of engineers.
• Troubleshoot production issues and participate in code reviews.
• Work independently on task-based and project-based work.

Skills

Python

Go

Java

Node.js

Rust

RESTful APIs

Microservices

Distributed systems

Tools

PostgreSQL

MongoDB

Redis

AWS

GCP

Azure

Docker

Kubernetes

Git

CI/CD

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 in Vancouver 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.

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 in Vancouver 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.

Vancouver is home to one of Canada's most vibrant tech and AI communities, with deep pools of engineering talent and a culture of innovation. This is a fully remote, flexible contract role — build meaningful AI infrastructure without leaving the city you call home.

• 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 patterns
• Contributions 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 anywhere
• Freelance autonomy with access to meaningful, technically challenging work
• Build systems at the intersection of software engineering and artificial intelligence
• Collaborate with a global network of talented engineers and researchers
• Potential for ongoing work and contract extension as new projects launch