Back End Developer (AI Infrastructure)

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 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

Work arrangement
Yes