Entry Level Python Django Developer Jobs in Quebec

Side is a global video game development and services provider, offering technical and creative solutions to many of the largest developers and studios around the world. Founded in Japan in 1994, Side has grown to become a global force in the video game industry, with over 40 studios in 15 countries worldwide and offices across North America, Europe, South America, and Asia.  

Our industry-leading services include codev, art production, localization, audio production, quality assurance, localization QA, player support, community management, and datasets.  

Help us bring stories to the world. Join Side's global team of passionate gamers and contribute to top-notch game development. Discover opportunities in Asia, North America, South America, Europe, and beyond.   

Experience our side of life! For more information, visit www.side.inc

About This Opportunity

As an AI Microservices Developer, you will be responsible for creating APIs that leverage

Large Language Models (LLMs) and Generative AI models to build products and perform

business process automation tasks. You will be expected to manage your own projects,

develop them in Python, and work with the DevOps team to deploy these projects as

micro-services in a cloud environment. You will support game services, products,

games, and internal functions across the organization

This role sits on Side's Artificial Intelligence team and reports to the Head of Artificial

Intelligence. The team serves as the hub for AI and machine learning across the entire

organization and all our brands. We collaborate on cross-functional projects that range

from internal tools to user-facing product features. You will partner with stakeholders

throughout the organization to align on requirements, set expectations, and deliver API

solutions.

Key Responsibilities

• Develop and Architect Python-based API Microservices that make calls to LLMs and other generative models to support business needs.
• Work on Python-based API Microservices that provide AI-enabled and LLM powered solutions for business needs.
• Keep up with the latest LLM technologies including OpenAI, Llama and Gemini.
• Understand and become the company's expert in LLM and Generative AI API methods and Open Weights model deployment.
• Work as a product manager to understand the business needs for business process automation tasks. Turn business needs into API requirements for microservices.
• Work with the DevOps team to ensure deployment of the Python-based APIs are live and kept functional.
• Assist in the integration of your API microservices with other software and tools throughout the organization.
• Refine and optimize AI systems throughout the project lifecycle to ensure performance and functionality across platforms.
• Write and debug core AI code, ensuring maintainable and scalable solutions.
• Develop tools and utilities to support AI development and testing.
• Proactively identify and address challenges related to AI development, devising creative and effective solutions.
• Maintain regular communication with cross-disciplinary teams to ensure cohesive development.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience developing Python-based REST APIs.
• Experience with OpenAI LLM APIs.
• Understanding of micro-services architecture and ability to design scalable architectures from the ground up.
• Knowledge of databases and programming APIs that use databases (NoSQL or SQL).
• Experience coding with Python frameworks such as Flask, Django, FastAPI or similar.
• Basic Web Application Architecture Knowledge
• Able to interact with business leaders across the organization to understand and manage requirements.
• Desired Qualification: Experience with LLM technology stacks and a variety of service and model options including OpenAI, Anthropic, and Open Weights models. Experience with AI Image Generation pipelines.

Note: Specific requirements may vary depending on project needs.

Benefits

Available to fulltime employees