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Python Django Developer Jobs in Quebec (NOW HIRING)

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Python Django Developer information

See Quebec salary details

$68.5K

$121.5K

$156.5K

How much do python django developer jobs pay per year?

As of May 30, 2026, the average yearly pay for python django developer in Quebec is $121,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $138,000.00 per year, depending on experience, location, and employer.

What Does a Python Django Developer Do?

A Python Django developer writes server-side web applications using Django software. You write code and develop back-end components for applications, then integrate your work with front-end developers. You must test, troubleshoot, and debug code for any application you work on. You write and implement software solutions that integrate different systems. Your responsibilities include writing reusable and testable code and supporting new projects with a Level-3 perspective. Other duties include designing and implementing low-latency, high-availability, and performant applications. You also implement security and data protection.

What are the key skills and qualifications needed to thrive as a Python Django Developer, and why are they important?

To thrive as a Python Django Developer, you need strong proficiency in Python programming, web development fundamentals, and deep understanding of the Django framework, typically supported by a degree in computer science or related experience. Familiarity with version control systems like Git, RESTful APIs, relational databases, and deployment tools is essential, and certifications in web development or Django can be beneficial. Problem-solving abilities, effective communication, and a collaborative mindset are crucial soft skills in this role. These skills and qualities ensure the delivery of robust, scalable web applications and foster effective teamwork in dynamic development environments.

What are some common challenges Python Django Developers face when working on large-scale projects?

Python Django Developers working on large-scale projects often encounter challenges such as managing complex database migrations, optimizing performance for high-traffic applications, and ensuring code maintainability across multiple team members. Effective communication and version control practices are vital when collaborating with front-end developers, QA engineers, and DevOps teams. Developers also need to stay up-to-date with security best practices to protect applications from vulnerabilities. Proactively addressing these challenges helps ensure smooth development cycles and successful project outcomes.

What is a Python Django Developer?

A Python Django Developer is a software professional who specializes in building web applications using the Django framework, which is written in Python. Django is known for its rapid development capabilities, security, and scalability. Developers in this role are responsible for designing, coding, testing, and maintaining web applications, integrating databases, and ensuring that applications follow best practices. They often work as part of a team and collaborate with front-end developers, designers, and other stakeholders to deliver robust web solutions.

What is the difference between Python Django Developer vs Python Flask Developer?

AspectPython Django DeveloperPython Flask Developer
Required CredentialsBachelor's in Computer Science, Python, Django certificationsBachelor's in Computer Science, Python, Flask familiarity
Work EnvironmentLarge-scale web applications, full-stack developmentMicroservices, lightweight APIs, flexible projects
Industry UsageE-commerce, social media, enterprise appsPrototyping, startups, custom APIs
Search & Comparison IntentOften compared for full-stack capabilitiesCompared for lightweight, flexible solutions

Python Django Developers typically work on large, complex web applications with a structured framework, while Python Flask Developers focus on lightweight, flexible microservices and APIs. Both roles require Python skills, but Django developers often have additional experience with full-stack development and enterprise environments, making them suitable for larger projects. Flask developers are preferred for rapid prototyping and smaller, custom solutions.

What are the most commonly searched types of Python Django Developer jobs in Quebec? The most popular types of Python Django Developer jobs in Quebec are:
What are popular job titles related to Python Django Developer jobs in Quebec? For Python Django Developer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Python Django Developer jobs in Quebec look for? The top searched job categories for Python Django Developer jobs in Quebec are:
What are popular job titles related to Python Django Developer jobs in QC? For Python Django Developer jobs in QC, the most frequently searched job titles are:
Infographic showing various Python Django Developer job openings in Quebec as of May 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 75% In-person, 14% Hybrid, and 11% Remote job distribution, with an average salary of $121,496 per year, or $58.4 per hour.

Développeur.se, Développement d'applications IA / AI Applications Developer

Mila - Institut québécois d'intelligence artificielle

Montreal, QC • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted yesterday


Job description

À propos de Mila

Fondé par le professeur Yoshua Bengio de l’Université de Montréal, Mila rassemble des chercheurs spécialisés en intelligence artificielle et plus précisément en apprentissage automatique, apprentissage profond et apprentissage par renforcement. Reconnu mondialement pour ses importantes contributions au domaine de l’apprentissage profond, Mila s’est particulièrement distingué dans la modélisation du langage, la traduction automatique, la reconnaissance d’objets et les modèles génératifs. Depuis 2017, Mila est le fruit d’une collaboration entre l’Université de Montréal et l’Université McGill, en lien étroit avec Polytechnique Montréal et HEC Montréal.

Mila s’est donné pour mission d’être un pôle mondial d’avancées scientifiques qui inspire l’innovation et l’essor de l’intelligence artificielle (IA) au bénéfice de tous.

Pour en connaitre davantage, veuillez consulter https://mila.quebec/

Description du poste

L’équipe Développement d’applications IA (DAI) conçoit et bâtit des applications alimentées par l’IA générative et l’apprentissage automatique. Nous travaillons étroitement avec les Studios, l’AMLRT et les équipes internes pour transformer des modèles, prototypes et idées en produits fonctionnels et démonstrations interactives.

En tant que développeur.se junior, vous contribuerez à l’implémentation d’API, de pipelines d’IA, d’interfaces pour agents, et d’outils internes réutilisables. Vous apprendrez à intégrer des modèles avancés (LLM, RAG, agents) dans des applications réelles, tout en adoptant de bonnes pratiques de génie logiciel.

Ce rôle est idéal pour quelqu’un qui souhaite évoluer dans un environnement mêlant backend, IA appliquée, data, et produits logiciels.

Responsabilités principales

  • Développer des fonctionnalités backend (Python/FastAPI, APIs, intégrations de bases de données ou vector databases).
  • Contribuer à l’intégration de modèles d’IA (LLM, agents, RAG pipelines).
  • Participer à la construction d’interfaces ou d’outils démonstratifs pour projets internes ou partenaires.
  • Maintenir et améliorer une base de code partagée (modules IA, librairies internes).
  • Analyser les performances du système et contribuer aux améliorations itératives grâce à l’expérimentation et aux tests.
  • Créer et tenir à jour la documentation sur les systèmes.
  • Collaborer avec des ingénieurs, chercheurs, designers et gestionnaires de projets.
  • Apprendre continuellement : GenAI, LLMOps, les meilleures pratiques, l’évaluation de modèles.
  • Tout autres tâches de développement ou d’optimisation.

Requirements

Compétences essentielles

  • Bac ou Maîtrise, en informatique, mathématique appliquée, en apprentissage automatique, vision par ordinateur, ou dans un domaine technique connexe.
  • Excellentes bases en génie logiciel : Python, développement d’API, bonnes pratiques.
  • Connaissance des environnements Linux et Git.
  • Capacité à se tenir à jour et à apprendre rapidement de nouvelles technologies (LLM, agents, frameworks).
  • Bon esprit analytique, autonomie, souci du détail.
  • Capacité à collaborer dans un environnement multidisciplinaire.
  • Être bilingue, en raison des interactions que vous aurez dans le cadre de votre emploi avec certains de nos partenaires, parties prenantes, ou membres de notre communauté académique anglophones;

Compétences qui vous démarqueront:

  • Expérience avec Python (FastAPI, Flask, Django).
  • Familiarité avec des services IA (OpenAI, Anthropic, HuggingFace).
  • Connaissances en NLP, RAG, embeddings, ou vector databases (Qdrant, Milvus).
  • Expérience en développement frontend (React, Next.js) — un atout.
  • Connaissances en Docker, CI/CD ou déploiements cloud (GCP/Azure).
  • Intérêt pour les architectures d’agents et la GenAI.

Benefits

De bonnes raisons pour travailler à Mila

  • L’occasion de contribuer à une mission unique avec un impact important;
  • Un programme d’assurance collective complet (maladie, dentaire, invalidité, vie, assurance voyage et garanties complémentaires);
  • Un programme d’aide aux employés et à la famille;
  • Un accès à un service de télémédecine;
  • Une politique de congés annuels offrant une base de 20 jours de vacances dès l’embauche;
  • Un régime d’épargne retraite avec contribution de l’employeur minimale de 4%;
  • Une généreuse enveloppe flexible vous permettant de personnaliser vos avantages sociaux en fonction de ce qui contribue à votre bien-être. Vous pouvez sélectionner et combiner les options qui correspondent à vos besoins parmi les crédits style de vie, une assurance bonifiée, des journées de vacances supplémentaires et une contribution enrichie au régime de retraite;
  • Un horaire flexible, un horaire d’été et une possibilité de télétravail;
  • Un milieu de travail au cœur de la Petite Italie, dans le quartier branché Mile-Ex, à proximité des transports en commun;
  • Une équipe d’experts de leur domaine, des gens passionnés et passionnants;
  • Une ambiance de travail collaborative et inclusive.

Nous voulons vous connaître

À Mila, la diversité nous tient à cœur. Nous valorisons un environnement de travail équitable, ouvert et respectueux des différences. Nous encourageons toute personne souhaitant œuvrer dans un écosystème en progression continue et stimulée à contribuer à l’application et la définition d’une culture saine et inclusive, à postuler.

Veuillez noter que seules les personnes sélectionnées seront contactées.

https://mila.quebec/fr/protection-de-la-vie-privee

AI Applications Developer

About Mila

Founded by Professor Yoshua Bengio of the Université de Montréal, Mila brings together researchers specializing in artificial intelligence, and more specifically in machine learning, deep learning and reinforcement learning. Recognized worldwide for its important contributions to the field of deep learning, Mila has particularly distinguished itself in language modeling, machine translation, object recognition and generative models. Since 2017, Mila has been the fruit of a collaboration between Université de Montréal and McGill University, with close links to Polytechnique Montréal and HEC Montréal.

Mila's mission is to be a global hub of scientific advances that inspires innovation and the rise of artificial intelligence (AI) for the benefit of all.

To find out more, please visit https://mila.quebec/

Position Summary

The AI Applications Development (AAD) team builds real-world applications powered by Generative AI and machine learning. We partner with AMLRT, Studios, and internal Mila teams to turn research ideas and prototypes into high-quality, production-ready software.

As a Junior AI Applications Developer, you will contribute to backend services, RAG and agent pipelines, internal tooling, and demos. You’ll learn how to integrate LLMs into applications while developing strong software engineering skills.

Main Responsibilities

  • Develop backend features (Python/FastAPI, APIs, database and vector database integrations).
  • Contribute to the integration of AI models (LLMs, agents, RAG pipelines).
  • Help build interfaces or demonstrative tools for internal or partner projects.
  • Maintain and improve a shared codebase (AI modules, internal libraries).
  • Analyze system performance and contribute to iterative improvements through experimentation and testing.
  • Create and maintain documentation on systems and components.
  • Collaborate with engineers, researchers, designers, and project managers.
  • Continuously learn about GenAI, LLMOps, best practices, and model evaluation.
  • Perform any other development or optimization tasks as needed.

Required Qualifications

  • Bachelor’s or Master’s degree in computer science, applied mathematics, machine learning, computer vision, or a related technical field.
  • Strong software engineering fundamentals: Python, API development, best practices.
  • Knowledge of Linux environments and Git.
  • Ability to stay up to date and learn new technologies quickly (LLMs, agents, frameworks).
  • Strong analytical skills, autonomy, and attention to detail.
  • Ability to collaborate in a multidisciplinary environment.
  • Proficiency in French and English.

Nice-to-Have Skills

  • Experience with Python frameworks (FastAPI, Flask, Django).
  • Familiarity with AI services (OpenAI, Anthropic, HuggingFace).
  • Knowledge of NLP, RAG, embeddings, or vector databases (Qdrant, Milvus).
  • Frontend development experience (React, Next.js) — an asset.
  • Knowledge of Docker, CI/CD, or cloud deployment (GCP/Azure).
  • Interest in agent architectures and GenAI.

Good Reasons to Work at Mila

  • The opportunity to contribute to a unique mission with a major impact;
  • A comprehensive group insurance program (health, dental, disability, life, travel and extended benefits);
  • An employee and family assistance program;
  • Access to a telemedicine service;
  • A vacation policy offering a base of 20 days' vacation upon hiring;
  • A retirement savings plan with a minimum employer contribution of 4%;
  • A generous flexible package allowing you to tailor your benefits to what contributes to your well-being. You can select and combine options to suit your needs, including lifestyle credits, enhanced insurance, extra vacation days and enriched pension contributions;
  • Flexible working hours, a summer schedule and the possibility of telecommuting;
  • A work environment in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation;
  • A team of passionate experts in their field;
  • A collaborative and inclusive work environment.

We Want to Hear from You

At Mila, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We encourage anyone who wants to work in an ecosystem that is constantly evolving and stimulated to contribute to the application and definition of a healthy and inclusive culture, to apply.

Please note that only selected candidates will be contacted.

https://mila.quebec/fr/protection-de-la-vie-privee