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Rag Developer Jobs in Quebec (NOW HIRING)

Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...

$100 - $130/hr

... workflows, RAG pipelines, tool/function calling, memory and state, guardrails ... Degree in Computer Science, Engineering, Data Science, or related field (or equivalent professional ...

New

AI Solutions Architect

Quebec, QC · On-site

$100 - $120/hr

Design Retrieval-Augmented Generation (RAG) architectures using Azure AI Search and Microsoft Fabric OneLake Gold layers. * Establish and maintain engineering standards, including naming conventions ...

New

Work closely with software and DevOps engineers to deploy GenAI models. * Document code, algorithms ... Working knowledge and project-based record of all of the following: context engineering, RAG ...

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 ...

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 ...

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 ...

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 ...

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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 100% Contract. Highlights an 48% In-person, and 52% Remote job distribution.

Principal Machine Learning Engineer, General AI, ML & Big Data

C-Serv

Montreal, QC • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 14 days ago


Job description

About Opportunity

We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.

The Role

As one of our Principal ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

What You'll Do

  • Define and drive the technical vision for ML solutions across products and platforms
  • Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations
  • Architect high-performance, scalable microservices, including synchronous and asynchronous web services
  • Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
  • Mentor engineers, set technical direction, and foster a strong team culture
  • Champion engineering excellence, system resilience, and continuous operational improvement

Requirements

Required Qualifications

  • Degree in Computer Science, Mathematics, or a related field
  • 5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
  • 5–10 years of Python expertise, including advanced features and libraries
  • Strong experience designing RESTful APIs (e.g., FastAPI)
  • Proficiency with Docker, Kubernetes, and CI/CD pipelines
  • 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)
  • Proven experience as a tech lead or engineering mentor

Preferred Qualifications

  • MS or PhD in Computer Science or ML
  • Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT
  • Familiarity with NoSQL and document databases
  • Track record of handling big data, optimising workflows, and improving system performance

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Training & Development