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Rag Engineer Jobs in Alberta (NOW HIRING)

Sr. AI Engineer

Calgary, AB · On-site

CA$91K - CA$114K/yr

Working with software developers, application architects, QA engineers, and operations teams to ... Experience with indexing/chunking strategies for RAG applications. * Work with search solutions ...

Apply prompt engineering, RAG pipelines, and grounding techniques to optimize GenAI performance in CX contexts. * Integrate CCAI Agent Assist and Amazon Q in Connect to deliver intelligent, real-time ...

New

Familiarity with LLMs and modern AI tooling: prompt engineering, fine-tuning, RAG pipelines, orand agent frameworks (LangChain, LangGraph LlamaIndex, CrewAI, or equivalent) * Solid understanding of ...

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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 Alberta? For Rag Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Alberta look for? The top searched job categories for Rag Engineer jobs in Alberta are:
Infographic showing various Rag Engineer job openings in Alberta as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Generative AI Developer - Microsoft Azure AI Stack

Generative AI Developer - Microsoft Azure AI Stack

Lantern

Calgary, AB

Other

Posted 16 days ago


Job description

Key Responsibilities
We are looking for a hands-on Generative AI Developer with strong experience in building intelligent applications using the Microsoft Azure AI stack. As part of a Microsoft partner consultancy, you will work on developing and deploying cutting-edge AI solutions powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).
This role is ideal for a developer who thrives in a fast-paced environment and is passionate about building real-world applications with large language models (LLMs), agent-based workflows, and scalable AI infrastructure.
Skills, Knowledge and Expertise

   Develop and deploy Generative AI applications using: 
   Azure OpenAI Service (GPT models, embeddings, fine-tuning)
   Azure AI Foundry for managing LLM lifecycle and deployment
   LangChain and LangGraph for orchestrating multi-agent and multi-step workflows
   RAG pipelines using Azure AI Search and vector databases
   AI agents and MCP servers for task automation and reasoning
   Implement prompt engineering strategies and optimize LLM interactions.
   Build APIs and microservices to integrate AI capabilities into enterprise applications.
   Collaborate with architects and client teams to understand requirements and deliver solutions.
   Ensure code quality, performance, and security in cloud-native environments.
   Stay up to date with the latest in generative AI frameworks, tools, and best practices.

Required Qualifications:

   Bachelor's degree in Computer Science, Engineering, or related field.
   3+ years of experience in software development, with a focus on AI/ML applications.
   Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
   Solid understanding of LLM orchestration, agent frameworks, and RAG architectures.
   Proficiency in Python and experience with cloud-native development.
   Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).
________________________________________

What We Offer:


   Opportunity to build impactful generative AI solutions for enterprise clients.
   Access to exclusive Microsoft partner resources and training.
   A collaborative, innovative, and growth-oriented work environment.
   Competitive compensation and benefits.
   Career development in a rapidly evolving AI landscape.