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 in Toronto 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 Toronto 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.

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

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