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Rag Engineer Jobs in Quebec (NOW HIRING)

Tu concois et developpes des solutions IA variees de calibre mondial (systemes agentiques, RAG ... AI Developer As someone dedicated to AI development, you contribute every day to building ...

Le ou la spécialiste interviendra sur l'ensemble du cycle de vie des solutions IA : choix des modèles, prompt engineering avancé, architectures RAG, fine-tuning, intégration et MLOps, tout en ...

About Apertera Apertera combines proprietary machine translation, LLM- and RAG-based systems, and a ... The Role We are hiring a Senior / Localization Engineering Manager to build and lead a dedicated ...

Experience with Large Language Models, RAG, and Copilot systems * Experience in practical machine ... Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn ...

Experience with Large Language Models, RAG, and Copilot systems * Experience in practical machine ... Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn ...

... RAG implementations, and machine learning models. * Prepare required technical artifacts for ... Collaborate with data engineering, data science, architecture, security, and platform teams to ...

Showing results 41-60

Rag Engineer information

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

What job categories do people searching Rag Engineer jobs in Quebec look for? The top searched job categories for Rag Engineer jobs in Quebec are:
Infographic showing various Rag Engineer job openings in Quebec as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 65% In-person, and 35% Remote job distribution.

Developpeur(euse) IA

Mirego

Montreal, QC • On-site

Full-time

Re-posted 25 days ago


Job description

En tant que personne dediee au developpement IA, tu contribues chaque jour a la creation de solutions d'intelligence artificielle innovantes qui ont pour ambition de transformer concretement la facon dont nos clients font des affaires. Tu fais le pont entre le developpement logiciel et l'univers de l'IA, en concevant des systemes agentiques, des pipelines RAG et des solutions exploitant les modeles les plus performants du marche. Ton enthousiasme pour l'IA et ta curiosite insatiable t'incitent a rester a l'avant-garde d'un ecosysteme en constante evolution. Ce n'est pas simplement livrer d'excellentes solutions IA qui t'apportent de la fierte, mais aussi le chemin parcouru pour y arriver. C'est pourquoi tu aspires constamment a collaborer avec les personnes les plus talentueuses, afin de progresser et d'evoluer collectivement.
TON QUOTIDIEN
  • Tu concois et developpes des solutions IA variees de calibre mondial (systemes agentiques, RAG, pipelines d'extraction, de classification) a l'aide de modeles existants, notamment de type LLM, et de techniques novatrices.
  • Tu menes tes projets IA de la conception de la solution jusqu'a son implementation en production, en passant par le prototypage et la validation des hypotheses techniques.
  • Tu assures la transition d'un prototype a une solution robuste en production, en mettant en place le monitoring, la gestion des couts, la securite et la fiabilite necessaires.
  • Tu collabores etroitement avec les equipes de design, de developpement et de gestion de produit pour integrer l'IA de facon coherente dans des solutions completes.
  • Tu vulgarises les concepts IA, les capacites et les limites des solutions proposees pour que les membres non techniques de l'equipe et les clients puissent prendre des decisions eclairees.
  • Tu assures une veille continue sur l'evolution rapide de l'ecosysteme IA (nouveaux modeles, frameworks, techniques) et tu en fais beneficier l'equipe en partageant activement tes decouvertes et apprentissages.
CE QU'IL TE FAUT
  • Tu as un bagage concret et une experience en developpement de solutions IA, te permettant de contribuer des ton premier jour.
  • Tu es une personne passionnee par l'intelligence artificielle, orientee vers les resultats et a l'aise dans l'ambiguite inherente aux projets IA.
  • Tu possedes un anglais et un francais fonctionnels pour repondre aux besoins des clients dans un contexte professionnel.
  • Tu sais faire le pont entre le developpement logiciel traditionnel, particulierement backend, et le developpement IA, et tu es confortable dans les deux.
  • Tu as une connaissance approfondie des modeles IA disponibles sur le marche, de leurs capacites, de leurs forces et faiblesses, et tu sais les comparer pour un cas d'usage donne.
  • Tu as de l'experience avec des frameworks, API et outils IA modernes (LangChain, LlamaIndex, OpenAI API, etc.) ainsi qu'avec des langages comme Python, Elixir ou TypeScript.
  • Tu demontres ton autonomie et ta proactivite : tu navigues avec aisance dans des contextes ou les resultats ne sont pas toujours previsibles et tu adaptes ton approche en consequence.
  • Tu es a l'aise dans un contexte de service client et tu sais entretenir une relation de confiance avec les clients, avec honnetete et transparence sur les capacites et les limites de l'IA.
  • Ton savoir-faire et ton savoir-etre contribuent a rendre l'equipe meilleure, notamment par le coaching, le partage de connaissances et des revues de code de qualite.
AI Developer
As someone dedicated to AI development, you contribute every day to building innovative artificial intelligence solutions with the ambition of concretely transforming the way our clients do business. You bridge the gap between software development and the world of AI, designing agentic systems, RAG pipelines, and solutions leveraging the top-performing models on the market. Your enthusiasm for AI and your insatiable curiosity drive you to stay at the forefront of a constantly evolving ecosystem. It's not just delivering excellent AI solutions that brings you pride, it's also the journey it takes to get there. That's why you constantly aspire to collaborate with the most talented people in order to grow and evolve collectively.
 
YOUR DAY-TO-DAY
- You design and develop a variety of world-class AI solutions (agentic systems, RAG, extraction and classification pipelines) using existing models, including LLMs, and innovative techniques.
- You lead your AI projects from solution design all the way through to production implementation, including prototyping and technical hypothesis validation.
- You ensure the transition from prototype to a robust production solution, putting in place the necessary monitoring, cost management, security, and reliability measures.
- You collaborate closely with design, development, and product management teams to integrate AI coherently into complete solutions.
- You make AI concepts, capabilities, and limitations accessible so that non-technical team members and clients can make informed decisions.
- You continuously monitor the rapidly evolving AI ecosystem (new models, frameworks, and techniques) and actively share your discoveries and learnings with the team.
 
WHAT YOU NEED
- You have a solid background and hands-on experience in developing AI solutions, allowing you to contribute from day one.
- You are passionate about artificial intelligence, results-oriented, and comfortable with the inherent ambiguity of AI projects.
- You communicate confidently in both English and French in a professional setting.
- You know how to bridge traditional software development (particularly on the backend side) and AI development, and you are comfortable in both worlds.
- You have an in-depth knowledge of AI models available on the market, their capabilities, strengths and weaknesses, and you know how to compare them for a given use case.
- You have experience with modern AI frameworks, APIs, and tools (LangChain, LlamaIndex, OpenAI API, etc.) as well as languages such as Python, Elixir, or TypeScript.
- You demonstrate autonomy and proactivity: you thrive in contexts where outcomes are not always predictable, and you adapt your approach accordingly.
- You are comfortable in a client-facing context and know how to build trusted relationships with clients, with honesty and transparency about the capabilities and limitations of AI.
- Your technical expertise and interpersonal skills elevate the team through coaching, knowledge sharing, and high-quality code reviews.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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