Solid understanding of Large Language Models (LLMs) - including prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and agentic workflows * Hands-on experience working with LLM API ...
Solid understanding of Large Language Models (LLMs) - including prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and agentic workflows * Hands-on experience working with LLM API ...
Summary We are looking for a Senior Backend-focused Developer to join the team, the strategic ... Interest or foundational knowledge in integrating AI capabilities (LLMs, RAG, LangChain, etc.) into ...
Summary We are looking for a Senior Backend-focused Developer to join the team, the strategic ... Interest or foundational knowledge in integrating AI capabilities (LLMs, RAG, LangChain, etc.) into ...
Nous développons des systèmes avancés (RAG, agents IA, orchestration agentique), et nous ... Collaborer étroitement avec les AI Engineers et l'équipe delivery pour amener les projets en ...
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Nous développons des systèmes avancés (RAG, agents IA, orchestration agentique), et nous ... Collaborer étroitement avec les AI Engineers et l'équipe delivery pour amener les projets en ...
Vous apprendrez a integrer des modeles avances (LLM, RAG, agents) dans des applications reelles ... AI Applications Developer About Mila Founded by Professor Yoshua Bengio of the Universite de ...
Vous apprendrez a integrer des modeles avances (LLM, RAG, agents) dans des applications reelles ... AI Applications Developer About Mila Founded by Professor Yoshua Bengio of the Universite de ...
Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and ... Apply solid engineering practice: version control, code review, automated testing, CI/CD, and ...
Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and ... Apply solid engineering practice: version control, code review, automated testing, CI/CD, and ...
Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and ... Apply solid engineering practice: version control, code review, automated testing, CI/CD, and ...
Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and ... Apply solid engineering practice: version control, code review, automated testing, CI/CD, and ...
Develop agentic workflows using LLMs, RAG, APIs, tools, enterprise knowledge sources, memory ... Engineer reusable, platform-ready components, prompts, connectors, orchestration patterns ...
Develop agentic workflows using LLMs, RAG, APIs, tools, enterprise knowledge sources, memory ... Engineer reusable, platform-ready components, prompts, connectors, orchestration patterns ...
AI Augmented Developer
Montreal, QC · On-site
Build solutions based on LLMs, RAG, and vector search, grounded in real clinical data. * Integrate ... Have solid foundations in object-oriented programming and algorithmic logic. * Demonstrate strong ...
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AI Augmented Developer
Montreal, QC · On-site
Build solutions based on LLMs, RAG, and vector search, grounded in real clinical data. * Integrate ... Have solid foundations in object-oriented programming and algorithmic logic. * Demonstrate strong ...
AI Developer Senior
Montreal, QC · Hybrid
... RAG, embeddings/vectorDBs, model fine tuning, graphDB usage with LLMs, MCP, reasoning models ... Strong data engineering skills. Hands-on experience with Databricks technologies like Unity Catalog ...
Posted today
AI Developer Senior
Montreal, QC · Hybrid
... RAG, embeddings/vectorDBs, model fine tuning, graphDB usage with LLMs, MCP, reasoning models ... Strong data engineering skills. Hands-on experience with Databricks technologies like Unity Catalog ...
Posted today
AI Solutions Engineer
Montreal, QC · Hybrid
Engineer prompts with discipline, write, test, evaluate, and iterate; document failure modes and ... Hands-on RAG experience, document processing, vector databases/search, and retrieval evaluation ...
AI Solutions Engineer
Montreal, QC · Hybrid
Engineer prompts with discipline, write, test, evaluate, and iterate; document failure modes and ... Hands-on RAG experience, document processing, vector databases/search, and retrieval evaluation ...
Vous apprendrez à intégrer des modèles avancés (LLM, RAG, agents) dans des applications ... As a Junior AI Applications Developer, you will contribute to backend services, RAG and agent ...
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Vous apprendrez à intégrer des modèles avancés (LLM, RAG, agents) dans des applications ... As a Junior AI Applications Developer, you will contribute to backend services, RAG and agent ...
Implémenter des architectures agentiques (RAG, mémoire, outils, workflows) * Travailler avec des ... LLMs (OpenAI, Gemini, open-source...) Cloud & DevOps * Déploiement cloud / Docker, CI/CD ...
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Implémenter des architectures agentiques (RAG, mémoire, outils, workflows) * Travailler avec des ... LLMs (OpenAI, Gemini, open-source...) Cloud & DevOps * Déploiement cloud / Docker, CI/CD ...
Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies. * Experience with MLOps practices: CI/CD ...
Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies. * Experience with MLOps practices: CI/CD ...
Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies. * Experience with MLOps practices: CI/CD ...
Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies. * Experience with MLOps practices: CI/CD ...
... for RAG and vector storage, prompt and context authoring, and more. (a plus) * Experience with ... engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the ...
... for RAG and vector storage, prompt and context authoring, and more. (a plus) * Experience with ... engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the ...
Senior Full-Stack Engineer
Montreal, QC · On-site
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 ...
Senior Full-Stack Engineer
Montreal, QC · On-site
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 ...
Expert Data Science Developer
Montreal, QC · On-site +1
You have experience integrating large language models (LLMs) and/or agentic AI into software solutions (prompting techniques, RAG, MCP). * You enjoy and are highly proficient in Python programming ...
Expert Data Science Developer
Montreal, QC · On-site +1
You have experience integrating large language models (LLMs) and/or agentic AI into software solutions (prompting techniques, RAG, MCP). * You enjoy and are highly proficient in Python programming ...
About the role We're looking for a Senior Full stack AI Developer (Python & Angular/React) to join ... RAG, embeddings/vectorDBs, model fine-tuning, graphDB usage with LLMs, MCP, reasoning models.
About the role We're looking for a Senior Full stack AI Developer (Python & Angular/React) to join ... RAG, embeddings/vectorDBs, model fine-tuning, graphDB usage with LLMs, MCP, reasoning models.
About the role We're looking for a Senior Full stack AI Developer (Python & Angular/React) to join ... RAG, embeddings/vectorDBs, model fine-tuning, graphDB usage with LLMs, MCP, reasoning models.
About the role We're looking for a Senior Full stack AI Developer (Python & Angular/React) to join ... RAG, embeddings/vectorDBs, model fine-tuning, graphDB usage with LLMs, MCP, reasoning models.
Generative AI Engineer
Montreal, QC · On-site
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 ...
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Generative AI Engineer
Montreal, QC · On-site
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 ...
Rag Developer information
What is the difference between Rag Developer vs Textile Technician?
| Aspect | Rag Developer | Textile Technician |
|---|---|---|
| Credentials | Typically requires a diploma or degree in textiles or related field | Requires similar qualifications, often with additional certifications in textile testing |
| Work Environment | Factories, textile mills, production plants | Laboratories, quality control departments, manufacturing facilities |
| Industry Usage | Used in textile manufacturing to develop and process rags for reuse or recycling | Involved 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 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:
Full-time
Re-posted 19 days ago
Job description
Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet's safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression - all while maintaining robust trust-and-safety protocols.
We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus).
*A select number of positions require full-time in office attendance*
If you're a Python Developer with a passion for AI and Large Language Models and want to get the chance to work on cutting-edge AI-powered products and intelligent automation systems, then keep reading. As a key member of the AI Operations team, you will have a mandate to take part in all stages of the AI product development life cycle, from ideation and prototyping through to production deployment.
What You'll Be Doing:
- Design, implement, and deploy new AI features, LLM-driven modules, and intelligent product and process
- Maintain and improve existing AI-powered systems and internal automation pipelines, and support internal stakeholder requests
- Help research and evaluate new models, frameworks, and GPU infrastructure providers (such as OpenRouter, RunPod, and other cloud GPU platforms) for integration into our AI stack
What you'll need to be successful:
Must Haves:
- College or bachelor's degree in computing science or related field
- Strong proficiency in Python (3+ years) with hands-on experience building production-grade systems/software
- 3 to 5 years of experience in software development with a focus on AI/ML pipelines, LLM integration, or generative AI applications
- Solid understanding of Large Language Models (LLMs) - including prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and agentic workflows
- Hands-on experience working with LLM API providers and model routing platforms such as OpenRouter, OpenAI, Anthropic, or equivalent
- Familiarity with GPU GPU-as-a-service providers/platforms
- Good working knowledge of REST API design, async Python, and Linux/Bash scripting
- A solid understanding of container technologies and modern containerbased build practices
- Understanding of computational and data complexity, scalability, security
- Good knowledge of applicable design patterns, algorithms
- Ability to architect, build and own efficient applications and components.
Nice To Haves:
- Experience with Gitlab CICD pipelines
- Experience with vector databases and embedding pipelines
- Familiarity with ML orchestration and workflow tools
- Broad knowledge of many of the following: cloud infrastructure, model monitoring, system observability, and MLOps practices
- Experience in deploying production systems to AWS using IaC
As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees
In this role you may be exposed to adult content