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Rag Developer Jobs in Quebec (NOW HIRING)

... Developer Position overview As a Senior ML Developer on the team, you will be responsible for ... Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms * Perform ...

... Developer to design, build, and deploy production-ready AI solutions that improve warehouse ... Develop LLM, RAG, and multi-agent AI applications. * Build APIs and AI services using FastAPI (or ...

... AI Engineer to design and deliver production-grade machine learning and generative AI solutions ... Design LLM-based applications including RAG pipelines and document intelligence for internal ...

Experience with vector databases, Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent frameworks * Experience with observability or monitoring for AI systems (tracing, evals ...

Build RAG and agent-style orchestration for clinical reporting and conversational interfaces * Ship ... Engineering, or a related field, or equivalent hands-on experience * 4+ years shipping ML/AI ...

Build RAG and agent-style orchestration for clinical reporting and conversational interfaces * Ship ... Engineering, or a related field, or equivalent hands-on experience * 4+ years shipping ML/AI ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
What are popular job titles related to Rag Developer jobs in Quebec? For Rag Developer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Quebec look for? The top searched job categories for Rag Developer jobs in Quebec are:
Infographic showing various Rag Developer job openings in Quebec as of July 2026, with employment types broken down into 84% Full Time, 4% Part Time, 1% Temporary, and 11% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior Applied AI/ML Developer

Autodesk

Montreal, QC • Remote

Full-time

Posted 10 days ago


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

26th of 241 rated software companies


Job description

Job Requisition ID #

26WD99788

L'affichage de poste en francais suivra / The French job posting follows

26WD99788 Sr. Applied AI/ML Developer

Position overview

As a Senior ML Developer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across dedicated RAG programs of work. Your horizontal expertise in testing, evaluation and causal inference in the vertical domain of user interaction with text outputs, Information Retrieval as a theoretical discipline as the enabling tool will drive end-to-end planning, POC-building, offline and online evaluation and pushing features into the hands of users.

The Senior MLE will work to deliver ML-driven technical solutions to customer needs in our platform. Sr MLEs help in coordinating delivery as part of multi-disciplinary stakeholder teams. This role is hands-on, focusing on technical problem solving with the latest in NLP and ML technology.

Our team culture is built on collaboration, mutual support, and continuous learning. As a Senior MLE, you will provide technical guidance and expertise for the team, and with other stakeholders. We emphasize an agile, hands-on, and technical approach at all levels of the team.

As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.

Responsibilities

  • Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms

  • Perform statistical and data analysis and exploration to generate datasets for model training and development

  • Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice

  • Provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform.

  • Partner with stakeholders, to solve important business objectives across a range of problems

  • Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning

Minimum Qualifications

  • MS/M.Tech/M.Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields

  • 3+ years of applicable work experience in ML

  • Hands-on experience of NLU and integrating traditional search techniques into RAG

  • Proficiency with the Python Machine Learning stack, e.g. Pandas, deep learning frameworks, traditional ML, probability calibration etc.

  • Knowledge of experimental design and analysis of results

  • Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production

  • Demonstrate experience working in cross-functional teams to deliver ML solutions in production

____________________________________________________________________________

26WD99788 Developpeur principal en IA/apprentissage automatique applique

Apercu du Poste

En tant que developpeur principal en apprentissage automatique au sein de l'equipe, vous serez charge de diriger ou de contribuer a la conception, a l'analyse et a la mise en uvre de solutions fondees sur les donnees afin de relever des defis d'affaires majeurs dans le cadre de programmes de travail RAG dedies. Votre expertise horizontale en matiere de tests, d'evaluation et d'inference causale dans le domaine vertical de l'interaction des utilisateurs avec les sorties textuelles, ainsi que la recherche d'information en tant que discipline theorique et outil facilitateur, vous permettront de piloter la planification de bout en bout, la creation de preuves de concept (POC), l'evaluation hors ligne et en ligne, ainsi que la mise a disposition des fonctionnalites aupres des utilisateurs.

Le specialiste principal en apprentissage automatique (MLE) travaillera a fournir des solutions techniques basees sur l'apprentissage automatique pour repondre aux besoins des clients sur notre plateforme. Les specialistes principaux en apprentissage automatique aident a coordonner la mise en uvre au sein d'equipes multidisciplinaires composees de parties prenantes. Ce poste est axe sur la pratique et met l'accent sur la resolution de problemes techniques a l'aide des dernieres technologies en traitement du langage naturel (TLN) et en apprentissage automatique.

La culture de notre equipe repose sur la collaboration, le soutien mutuel et l'apprentissage continu. En tant que specialiste principal en apprentissage automatique, vous fournirez des conseils techniques et votre expertise a l'equipe ainsi qu'aux autres parties prenantes. Nous mettons l'accent sur une approche agile, pratique et technique a tous les niveaux de l'equipe.

En tant que groupe, nous souhaitons ameliorer continuellement notre apprentissage automatique ainsi que notre connaissance des tendances et des techniques pertinentes pour nos domaines. Notre equipe vise l'excellence tant dans la theorie que dans la pratique de l'apprentissage automatique. Nous encourageons le developpement personnel et le partage des connaissances.

Responsabilites

  • Concevoir et mettre en uvre des capacites d'apprentissage automatique qui ameliorent les plateformes RAG d'Autodesk

  • Effectuer des analyses et des explorations statistiques et de donnees afin de generer des ensembles de donnees pour l'entrainement et le developpement de modeles

  • Collaborer avec les autres membres de l'equipe pour trouver de meilleures solutions et positionner notre equipe a la fine pointe de la technologie et des pratiques en matiere d'apprentissage automatique

  • Assurer le leadership technique et le mentorat aupres des membres moins experimentes de l'equipe afin de livrer des fonctionnalites cles basees sur l'apprentissage automatique pour notre plateforme client numerique.

  • Collaborer avec les parties prenantes pour atteindre des objectifs d'affaires importants en abordant un large eventail de problemes

  • Traduire les exigences et les objectifs d'affaires en problemes pouvant etre resolus grace a une combinaison de donnees, de statistiques et d'apprentissage automatique

Qualifications Minimales

  • Maitrise (MS/M.Tech/M.Math) ou doctorat (Ph.D.) en informatique, statistiques, mathematiques, physique, developpement logiciel, economie, linguistique computationnelle ou dans des domaines connexes

  • Au moins 3 ans d'experience professionnelle pertinente en apprentissage automatique

  • Experience pratique de la comprehension du langage naturel (NLU) et de l'integration de techniques de recherche traditionnelles dans le RAG

  • Maitrise de la pile d'apprentissage automatique en Python, p. ex. Pandas, les cadres d'apprentissage profond, l'apprentissage automatique traditionnel, l'etalonnage des probabilites, etc.

  • Connaissance de la conception experimentale et de l'analyse des resultats

  • Experience averee dans la direction d'equipes d'apprentissage automatique pour le deploiement et l'amelioration de fonctionnalites d'apprentissage automatique en production

  • Experience averee de travail au sein d'equipes interfonctionnelles pour la mise en uvre de solutions d'apprentissage automatique en production

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982