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Rag Developer Jobs in Quebec (NOW HIRING)

RAG Architecture * Prompt Engineering * AI Governance Preferred Skills * Energy Operations Knowledge Management * Field Service Copilots * Asset Maintenance AI Assistants * Energy Market Intelligence ...

Toute experience ou tout projet personnel dans le domaine de l'IA/ML, des LLM, du RAG ou des agents ... We'relooking for an ambitious, curious, and practical junior developer who is eager to learn and ...

CA$30/hr

RAG Architecture * Prompt Engineering * AI Governance Required Qualifications: * Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. * 8+ years of technology ...

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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 job makes $10,000 a month without a degree?

A Rag Developer, or similar specialized freelance or contract roles in software development, can earn $10,000 or more per month without a formal degree by demonstrating strong coding skills, experience, and a portfolio. High-demand skills in programming languages, web development, or app creation often lead to such income levels through freelance projects or consulting work.

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 or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles are usually found in leading tech companies and may involve responsibilities like developing innovative algorithms or managing AI projects, with compensation reflecting expertise and experience.

What jobs pay $2000 a day?

For a Rag Developer or similar high-skilled tech roles, earning $2000 a day typically requires extensive experience, specialized skills, and often freelance or contract work. Such high daily rates are common in consulting, software development, or project management for large organizations or clients. These positions often demand advanced certifications, a strong portfolio, and the ability to deliver complex solutions efficiently.
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 June 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

GenAI / LLM Architect (Energy) - GLAAS

NavitasPartners

Montreal, QC

Full-time

Posted 11 days ago


Job description

Job Title : GenAI / LLM Architect (Energy)Industry

Energy & Utilities

Position Overview

The GenAI Architect will lead the design and implementation of Generative AI solutions that improve operational efficiency, knowledge management, field service operations, asset maintenance, customer support, and energy market intelligence.

Responsibilities
  • Design enterprise GenAI architecture.
  • Build RAG-based AI solutions.
  • Develop domain-specific AI assistants.
  • Integrate LLMs with enterprise systems.
  • Establish AI governance and security controls.
  • Lead AI innovation initiatives across the organization.
Required Skills
  • Generative AI
  • Large Language Models (LLMs)
  • OpenAI APIs
  • Azure OpenAI
  • LangChain
  • LangGraph
  • Vector Databases
  • RAG Architecture
  • Prompt Engineering
  • AI Governance
Preferred Skills
  • Energy Operations Knowledge Management
  • Field Service Copilots
  • Asset Maintenance AI Assistants
  • Energy Market Intelligence Solutions
Mandatory Experience
  • 8+ years in Data & AI roles.
  • 3+ years in GenAI/LLM solutions.
  • Must have prior experience in the Energy, Utilities, Oil & Gas, Renewable Energy, or Energy Trading industry.


For more details reach at resumes@navitassols.com