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)
Quick apply
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)
Quick apply
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)
Avoir des connaissances des APIs de LLM (OpenAI, Anthropic, Azure AI) et de leur integration dans ... Maitriser les langages Python, PowerShell, Bash * Connaitre les environnements cloud (Azure) et des ...
Avoir des connaissances des APIs de LLM (OpenAI, Anthropic, Azure AI) et de leur integration dans ... Maitriser les langages Python, PowerShell, Bash * Connaitre les environnements cloud (Azure) et des ...
Montreal, QC · On-site
Advanced Python skills: PyTorch/TensorFlow, Scikit-learn, Pandas. * Hands-on MLOps experience: MLflow, Kubeflow, Azure ML, or SageMaker. * LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG ...
Montreal, QC · On-site
Advanced Python skills: PyTorch/TensorFlow, Scikit-learn, Pandas. * Hands-on MLOps experience: MLflow, Kubeflow, Azure ML, or SageMaker. * LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG ...
Montreal, QC · On-site
Advanced Python skills: PyTorch/TensorFlow, Scikit-learn, Pandas. * Hands-on MLOps experience: MLflow, Kubeflow, Azure ML, or SageMaker. * LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG ...
Quick apply
Montreal, QC · On-site
Advanced Python skills: PyTorch/TensorFlow, Scikit-learn, Pandas. * Hands-on MLOps experience: MLflow, Kubeflow, Azure ML, or SageMaker. * LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG ...
AI Resident Expert: 23 years specifically focused on AI, Machine Learning, and Vector embeddings, LLM orchestration or/and MCP * Core Stack: Expert-level Java, Python, SQL, and Kubernetes.
Quick apply
AI Resident Expert: 23 years specifically focused on AI, Machine Learning, and Vector embeddings, LLM orchestration or/and MCP * Core Stack: Expert-level Java, Python, SQL, and Kubernetes.
Montreal, QC · On-site +1
AI Resident Expert: 2-3 years specifically focused on AI, Machine Learning, and Vector embeddings, LLM orchestration or/and MCP * Core Stack: Expert-level Java, Python, SQL, and Kubernetes.
Montreal, QC · On-site +1
AI Resident Expert: 2-3 years specifically focused on AI, Machine Learning, and Vector embeddings, LLM orchestration or/and MCP * Core Stack: Expert-level Java, Python, SQL, and Kubernetes.
... LLM (ARIA) * Rencontrer les gestionnaires de développement pour discuter des projets logiciels ... Expérience avec Python * Expérience en tests unitaires; pytest * Connaissance approfondie de la ...
... LLM (ARIA) * Rencontrer les gestionnaires de développement pour discuter des projets logiciels ... Expérience avec Python * Expérience en tests unitaires; pytest * Connaissance approfondie de la ...
... modele LLM (ARIA) * Rencontrer les gestionnaires de developpement pour discuter des projets ... Experience avec Python * Experience en tests unitaires; pytest * Connaissance approfondie de la ...
... modele LLM (ARIA) * Rencontrer les gestionnaires de developpement pour discuter des projets ... Experience avec Python * Experience en tests unitaires; pytest * Connaissance approfondie de la ...
Montreal, QC · On-site
Vous etes un expert en Python avec une experience eprouvee dans l'utilisation de solutions ... LLM, l'ingenierie des prompts et les systemes bases sur la recuperation. Vous savez evaluer et ...
Montreal, QC · On-site
Vous etes un expert en Python avec une experience eprouvee dans l'utilisation de solutions ... LLM, l'ingenierie des prompts et les systemes bases sur la recuperation. Vous savez evaluer et ...
Participate in maintaining services handling millions of requests and LLM calls per day ... Python or Java/Spring preferred, AWS an asset) * Good understanding of distributed systems and ...
Quick apply
Participate in maintaining services handling millions of requests and LLM calls per day ... Python or Java/Spring preferred, AWS an asset) * Good understanding of distributed systems and ...
Participate in maintaining services handling millions of requests and LLM calls per day ... Python or Java/Spring preferred, AWS an asset) * Good understanding of distributed systems and ...
Participate in maintaining services handling millions of requests and LLM calls per day ... Python or Java/Spring preferred, AWS an asset) * Good understanding of distributed systems and ...
Hands-on experience with LLM context patterns - You've worked on RAG systems, context windows, or AI products that require personalized data access * Strong Data Foundation - Proficiency in Python ...
Quick apply
Hands-on experience with LLM context patterns - You've worked on RAG systems, context windows, or AI products that require personalized data access * Strong Data Foundation - Proficiency in Python ...
Python: Overall 7+ years of development experience with 5+ years of hands-on experience in Python ... Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into ...
Python: Overall 7+ years of development experience with 5+ years of hands-on experience in Python ... Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into ...
Montreal, QC · On-site +1
Hands-on experience with agent frameworks, vector databases, model fine-tuning, and LLM observability and evaluation tooling * Expert in Python (mandatory) and strong in JavaScript/TypeScript ...
Montreal, QC · On-site +1
Hands-on experience with agent frameworks, vector databases, model fine-tuning, and LLM observability and evaluation tooling * Expert in Python (mandatory) and strong in JavaScript/TypeScript ...
Hands-on experience with LLM context patterns - You've worked on RAG systems, context windows, or AI products that require personalized data access * Strong Data Foundation - Proficiency in Python ...
Hands-on experience with LLM context patterns - You've worked on RAG systems, context windows, or AI products that require personalized data access * Strong Data Foundation - Proficiency in Python ...
Montreal, QC · On-site +1
Stay current on the rapidly evolving LLM landscape -- new models, prompting techniques, evaluation ... Proficiency in Python or another scripting language for building eval pipelines or prompt tooling ...
Quick apply
Montreal, QC · On-site +1
Stay current on the rapidly evolving LLM landscape -- new models, prompting techniques, evaluation ... Proficiency in Python or another scripting language for building eval pipelines or prompt tooling ...
Stay current on the rapidly evolving LLM landscape -- new models, prompting techniques, evaluation ... Proficiency in Python or another scripting language for building eval pipelines or prompt tooling ...
Quick apply
Stay current on the rapidly evolving LLM landscape -- new models, prompting techniques, evaluation ... Proficiency in Python or another scripting language for building eval pipelines or prompt tooling ...
... LLM APIs, or orchestration frameworks. * Hands-on experience in solution design and development, including Python, REST APIs, system integration, RAG, prompt engineering, testing, version control ...
... LLM APIs, or orchestration frameworks. * Hands-on experience in solution design and development, including Python, REST APIs, system integration, RAG, prompt engineering, testing, version control ...
Montreal, QC · Hybrid
You'll build everything from multi-provider LLM orchestration and hybrid memory systems to real ... Deep, production-level experience in Python (3.11+), building microservices with frameworks like ...
New
Quick apply
Montreal, QC · Hybrid
You'll build everything from multi-provider LLM orchestration and hybrid memory systems to real ... Deep, production-level experience in Python (3.11+), building microservices with frameworks like ...
New
You will design, build, and continuously improve evaluation datasets, sourcing methods, LLM judge ... Python, SQL, and modern AI/ML development practices. * Proven ability to translate governance ...
You will design, build, and continuously improve evaluation datasets, sourcing methods, LLM judge ... Python, SQL, and modern AI/ML development practices. * Proven ability to translate governance ...
A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.
To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.
Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.
Montreal, QC • On-site
Full-time
Medical, Dental, Life, Retirement, PTO
Re-posted 16 days ago
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
Requirements
Compétences essentielles
Compétences qui vous démarqueront:
Benefits
De bonnes raisons pour travailler à Mila
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 DeveloperAbout 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
Required Qualifications
Nice-to-Have Skills
Good Reasons to Work at Mila
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