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Rag Engineer Jobs in Quebec (NOW HIRING)

... 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 ...

... 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 ...

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 ...

Lead Data Engineer - R01566629

Montreal, QC ยท On-site

CA$80 - CA$85/hr

Data Engineer - Agentic AI & Snowflake Cortex Specialization * Data Analysis: Data Engineer Job ... Experience with LLMs and Retrieval-Augmented Generation (RAG). Knowledge of vector databases and ...

We are looking for senior, hands-on full-stack engineers who have designed, built, and operated ... Solid understanding of evaluation metrics and how they shape practical RAG system design (e.g ...

Promouvoir les meilleures pratiques en matiere de prompt engineering, de generation augmentee par recuperation (RAG), d'appel d'outils (tool calling), de gestion du contexte, de tests ...

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 ...

Working knowledge and project-based record of all of the following: context engineering, RAG, harness engineering. * Working knowledge and project-based record of at least one of the following is a ...

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Rag Engineer information

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

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.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

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 may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What are popular job titles related to Rag Engineer jobs in Quebec? For Rag Engineer jobs in Quebec, the most frequently searched job titles are:
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:

Senior Applied AI Engineer

Giesecke+Devrient

Montreal, QC โ€ข On-site

Other

Posted 6 days ago


Job description

Compensation: $130,000 - 150,000 plus up to $20,000 bonus, capped at 150%

Job Summary

Giesecke+Devrient is a globally leading SecurityTech company. We are seeking a highly technical and execution-focused Senior Applied AI Engineer to join G+D's new AI Hub.
The ideal candidate will combine deep expertise in Generative AI systems engineering with strong Python software engineering capabilities and the ability to translate complex enterprise challenges into scalable AI solutions that deliver measurable impact.
This role is focused exclusively on Generative AI engineering and agentic systems, including single-agent and multi-agent architectures, RAG, Graph RAG, advanced evaluation frameworks, guardrails, and production observability.

ย Primary Responsibilities
  • Own GenAI initiatives end-to-end from problem framing through production deployment and continuous monitoring
  • Design, develop, and deploy single-agent and multi-agent systems
  • Build production-grade RAG and Graph RAG architectures
  • Develop enterprise-grade AI assistants, copilots, and workflow agents
  • Design orchestration and handoff patterns across multi-agent workflows
  • Implement hallucination mitigation and response validation strategies
  • Build evaluation frameworks, guardrails, tracing, and production monitoring
  • Other duties as assigned
ย Qualifications, Experience and Educational Requirements

Work Experience:ย 

  • Three (3)+ years of hands-on experience in Generative AI engineering, LLM systems, or Applied AI since 2022 onward, with proven experience delivering production-grade GenAI solutions
  • Five (5)+ years of prior experience in Python software engineering, backend engineering, platform engineering, or related software development roles
  • Proven track record of building and deploying production systems, APIs, workflow orchestration services, or distributed applications prior to working in GenAI

Skills and Competencies:

  • Strong expertise in LLM systems engineering, prompt engineering, RAG, Graph RAG, agent orchestration, multi-agent systems, observability, hallucination mitigation, and MCP
  • Strong Python software engineering skills
  • Hands-on experience with Python, FastAPI / Flask, async workflows, APIs, testing frameworks, and CI/CD
  • Hands-on experience with LangChain, LangGraph, CrewAI, OpenAI APIs, vector and graph databases
  • Experience working in specification-first, contract-driven, or Spec-Driven Development (SDD) environments is considered a strong asset

Education:

  • Master's degree or Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field preferredย 
ย Additional Information

*This job description is not intended to be all inclusive. The candidate hired will also perform other reasonable related business duties as assigned by the supervisor. The company reserves the right to revise or change job duties as needed. This job description does not constitute a written or implied contract of employment.

By applying to this position, you are confirming you possess either a Canadian citizenship, permanent resident status or valid work permit.

Please note: Reference Checks and Credit, Criminal Background Checks will be administered on suitably qualified candidates. Your application will be kept on file for up to two yearsย 

$$ Giesecke+Devrient ePayments Canada, Inc. is an equal opportunity employer and values diversity in its workforce, encouraging applications from all qualified individuals. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you would like to contact us, please contact Human Resources at careers.gdsci@gi-de.comย 

ย $$ย  $$ $$ $$ ย $$ย https://career5.successfactors.eu/career?company=gieseckede&career_job_req_id=27433&career_ns=job_application