... 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 ...
... 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 ...
Implement retrieval-augmented generation (RAG) capabilities that make internal policy, product, and ... Contribute to continuous improvement of engineering practices covering quality, CI/CD, and ...
New
Implement retrieval-augmented generation (RAG) capabilities that make internal policy, product, and ... Contribute to continuous improvement of engineering practices covering quality, CI/CD, and ...
New
GenAI Software Developer
Calgary, AB · On-site
Build and optimize Generative AI workflows using prompt engineering, AI orchestration frameworks, RAG capabilities, and intelligent automation. * Design and develop reusable AI skills, prompts ...
GenAI Software Developer
Calgary, AB · On-site
Build and optimize Generative AI workflows using prompt engineering, AI orchestration frameworks, RAG capabilities, and intelligent automation. * Design and develop reusable AI skills, prompts ...
Sr. Software Engineer - Platform
Calgary, AB · On-site
CA$145K/yr
ClearGov is looking for a Software Engineer to join our team. You'll be a key contributor in ... Contribute to AI-enabled product capabilities, including Retrieval-Augmented Generation (RAG ...
Quick apply
Sr. Software Engineer - Platform
Calgary, AB · On-site
CA$145K/yr
ClearGov is looking for a Software Engineer to join our team. You'll be a key contributor in ... Contribute to AI-enabled product capabilities, including Retrieval-Augmented Generation (RAG ...
... RAG, evals, and observability, live in production today. The platform is young (v1 shipped this ... We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a ...
Quick apply
... RAG, evals, and observability, live in production today. The platform is young (v1 shipped this ... We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a ...
RAG pipelines; vector DBs (pgvector/Milvus/Pinecone/FAISS); MCPbased secure connectors ... Context Engineering, AI Agent Security, API Design, Application Development, Application ...
RAG pipelines; vector DBs (pgvector/Milvus/Pinecone/FAISS); MCPbased secure connectors ... Context Engineering, AI Agent Security, API Design, Application Development, Application ...
RAG systems and vector search, embeddings, reranking, and grounding strategies * LLM application ... Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated ...
RAG systems and vector search, embeddings, reranking, and grounding strategies * LLM application ... Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated ...
... RAG), and AI agents. This role is ideal for someone passionate about transforming business ... Skills, Knowledge and Expertise Bachelor's or Master's degree in Computer Science, Engineering, or ...
... RAG), and AI agents. This role is ideal for someone passionate about transforming business ... Skills, Knowledge and Expertise Bachelor's or Master's degree in Computer Science, Engineering, or ...
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 ...
Quick apply
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 ...
Sr. AI Engineer
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 ...
Sr. AI Engineer
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 ...
... prompt engineering, RAG pipelines, API-based model integration, agent eval frameworks - with real examples, not just prototypes * Strong API and systems design skills - experience shipping ...
... prompt engineering, RAG pipelines, API-based model integration, agent eval frameworks - with real examples, not just prototypes * Strong API and systems design skills - experience shipping ...
Experience with generative AI, large language models (LLMs), prompt engineering, or retrievalaugmented generation (RAG) is essential, experience with fine-tuning foundational models is an asset.
Experience with generative AI, large language models (LLMs), prompt engineering, or retrievalaugmented generation (RAG) is essential, experience with fine-tuning foundational models is an asset.
AI Engineer - Generative & Agentic AI
CA$84K - CA$128K/yr
Implement vector database solutions to enable semantic search, RAG (retrieval augmented generation ... NET (strong engineering fundamentals matter more than specific syntax). * Hands-on experience ...
AI Engineer - Generative & Agentic AI
CA$84K - CA$128K/yr
Implement vector database solutions to enable semantic search, RAG (retrieval augmented generation ... NET (strong engineering fundamentals matter more than specific syntax). * Hands-on experience ...
RAG systems and vector search, embeddings, reranking, and grounding strategies * LLM application ... Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated ...
RAG systems and vector search, embeddings, reranking, and grounding strategies * LLM application ... Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated ...
Collaborate with engineering teams to productionize and operationalize solutions Innovation & R&D ... Demonstrated mastery of Retrieval-Augmented Generation (RAG) architectures and multi-Agent AI ...
Collaborate with engineering teams to productionize and operationalize solutions Innovation & R&D ... Demonstrated mastery of Retrieval-Augmented Generation (RAG) architectures and multi-Agent AI ...
Collaborate with engineering teams to productionize and operationalize solutions Innovation & R&D ... Demonstrated mastery of Retrieval-Augmented Generation (RAG) architectures and multi-Agent AI ...
Collaborate with engineering teams to productionize and operationalize solutions Innovation & R&D ... Demonstrated mastery of Retrieval-Augmented Generation (RAG) architectures and multi-Agent AI ...
Experience with generative AI, large language models (LLMs), prompt engineering, or retrievalaugmented generation (RAG) is essential, experience with fine-tuning foundational models is an asset.
Experience with generative AI, large language models (LLMs), prompt engineering, or retrievalaugmented generation (RAG) is essential, experience with fine-tuning foundational models is an asset.
Implement RAG components and tool integrations as part of product features, working within ... Collaborate closely with ML engineers, data engineers, and product managers within the pod ...
Implement RAG components and tool integrations as part of product features, working within ... Collaborate closely with ML engineers, data engineers, and product managers within the pod ...
Implement RAG components and tool integrations as part of product features, working within ... Collaborate closely with ML engineers, data engineers, and product managers within the pod ...
Implement RAG components and tool integrations as part of product features, working within ... Collaborate closely with ML engineers, data engineers, and product managers within the pod ...
Operating at the intersection of business and engineering, you will own the technical design of ... RAG pipelines. Architect foundation model adaptation strategies, including dynamic, cost-and ...
New
Operating at the intersection of business and engineering, you will own the technical design of ... RAG pipelines. Architect foundation model adaptation strategies, including dynamic, cost-and ...
New
Rag Engineer information
What is the difference between Rag Engineer vs Textile Technician?
| Aspect | Rag Engineer | Textile Technician |
|---|---|---|
| Required Credentials | Engineering degree, technical certifications | Diploma or degree in textiles or related field |
| Work Environment | Factories, manufacturing plants, R&D labs | Textile mills, production facilities, quality control labs |
| Industry Usage | Designing and improving rag production processes | Monitoring 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.
How to become a rag engineer?
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:

Full-time
Re-posted 11 days ago
Job description
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.
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.
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).
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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.