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Rag Engineer Jobs in Quebec (NOW HIRING)

Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic ... Knowledge of software engineering practices such as version control, testing, CI/CD, and ...

New

Architect scalable agentic AI solutions using modern techniques such as RAG, multi-agent workflows ... Mentor junior developers through technical leadership, code reviews, and knowledge sharing

New

Basic understanding of Generative AI concepts, including Large Language Models (LLMs), AI agents, prompt engineering, and Retrieval-Augmented Generation (RAG). * Familiarity with AI-assisted ...

Strong engineering fundamentals in Python, Go, or Rust. A preference, not a gate -- deep systems ... Depth in the current LLM ecosystem -- agent frameworks, MCP, RAG architectures, eval tooling, or ...

New

LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models) * Experience with MCP or similar ... strong engineering fundamentals (testing, code quality, performance, security) * Strong ...

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

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 ...

Showing results 21-40

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.

Senior Generative AI Software Engineer

Apertera

Montreal, QC • On-site

Full-time

Re-posted 15 days ago


Job description

About Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values: 

  • Innovation
  • Dedication
  • Fanatical commitment to quality and service
  • Resourcefulness
  • Collaboration
About the Role

We are looking for a Senior Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation with the objective to develop and implement state-of-the-art algorithms by fast prototyping. We expect our Senior Generative AI Engineer to stay current with the technological cutting edge and drive the application of LLM and GenAI to translation, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Research and implement state-of-the-art LLM techniques including continued pre-training, supervised fine-tuning, reinforcement learning from human or AI feedback (PPO, DPO, GRPO, etc.), and LLM deployment.
  • Work closely with our expert advisor to strategize, plan, and design technical roadmaps and features of GenAI products.
  • Develop prototypes of GenAI and LLM application to translation use cases.
  • Drive technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
  • Stay updated with the latest advancements and research trends in generative AI, attending conferences, workshops, and seminars, and actively contributing to the AI research community through publications and presentations
  • Work closely with DevOps Engineers, software engineers, designers, and product managers to understand project requirements, align on technical solutions, and deliver high-quality generative AI solutions that meet business objectives and user needs.
  • Communicate technical strategies effectively across teams and manage stakeholder expectations. 
Requirements
  • Master in Computer Science, Data Science, Statistics, or Engineering. PhD or equivalent experience is preferred.
  • 3+ years of industry experience developing GenAI and LLM applications.
  • Working knowledge and project-based record of all of the following: context engineering, RAG, SFT. 
  • Working knowledge and project-based record of at least one of the following:  continued pre-training, PPO/DPO/GRPO, Agentic systems (including harness engineering, MCP server, etc.).
  • Proficiency in programming languages such as Python, with experience in software development and version control systems (e.g., Git).
  • Hands-on experience with Huggingface APIs or Amazon Bedrock. Experience with both is preferred. 
  • Expert skills of PyTorch, TensorFlow, Pandas, etc.
  • Experience with cloud platforms like AWS, GCP, or Azure 
  • Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams.
  • Self-driven, self-motivated with excellent time management skills
  • Excellent organizational, communication, and interpersonal skills
  • Ability to adapt to shifting priorities without compromising deadlines and momentum.

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