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 ...
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 ...
Technology As a Gen AI Software Application Developer at BMO, you will focus on building and integrating Generative AI capabilities into enterprise applications. Working with technology and business ...
Technology As a Gen AI Software Application Developer at BMO, you will focus on building and integrating Generative AI capabilities into enterprise applications. Working with technology and business ...
Skills, Knowledge and Expertise Bachelor's or Master's degree in Computer Science, Engineering, or ... on generative AI. Hands-on experience with Azure OpenAI, LangChain, and LangGraph. Deep ...
Skills, Knowledge and Expertise Bachelor's or Master's degree in Computer Science, Engineering, or ... on generative AI. Hands-on experience with Azure OpenAI, LangChain, and LangGraph. Deep ...
Experience with generative AI, large language models (LLMs), prompt engineering, or ... retrievalaugmented generation (RAG) is essential, experience with fine-tuning foundational models ...
Experience with generative AI, large language models (LLMs), prompt engineering, or ... retrievalaugmented generation (RAG) is essential, experience with fine-tuning foundational models ...
AI Engineer - Generative & Agentic AI
CA$84K - CA$128K/yr
Your Opportunity We are seeking an experienced AI Engineer with a strong foundation in software engineering and a proven track record of building Generative and Agentic AI solutions . This new role ...
AI Engineer - Generative & Agentic AI
CA$84K - CA$128K/yr
Your Opportunity We are seeking an experienced AI Engineer with a strong foundation in software engineering and a proven track record of building Generative and Agentic AI solutions . This new role ...
Experience with generative AI, large language models (LLMs), prompt engineering, or ... retrievalaugmented generation (RAG) is essential, experience with fine-tuning foundational models ...
Experience with generative AI, large language models (LLMs), prompt engineering, or ... retrievalaugmented generation (RAG) is essential, experience with fine-tuning foundational models ...
Technology Build the Future of Banking with Generative AI At BMO, we're transforming the future of ... What You'll Do As a GenAI Software Developer, you will: * Design, develop, test, and deploy AI ...
Technology Build the Future of Banking with Generative AI At BMO, we're transforming the future of ... What You'll Do As a GenAI Software Developer, you will: * Design, develop, test, and deploy AI ...
... generative AI capabilities while supporting business transformation through data, artificial ... Additional qualifications include: * Bachelor's degree in Computer Science, Engineering ...
... generative AI capabilities while supporting business transformation through data, artificial ... Additional qualifications include: * Bachelor's degree in Computer Science, Engineering ...
Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics ... Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases * DevOps / ...
Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics ... Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases * DevOps / ...
Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics ... Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases * DevOps / ...
Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics ... Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases * DevOps / ...
Technical Business Analyst
Calgary, AB · On-site
... developers, and quality engineering teams, you will leverage both traditional business analysis ... Leverage Generative AI tools to accelerate requirements gathering, analysis, documentation, and ...
Technical Business Analyst
Calgary, AB · On-site
... developers, and quality engineering teams, you will leverage both traditional business analysis ... Leverage Generative AI tools to accelerate requirements gathering, analysis, documentation, and ...
Utilize generative AI, code assistants, agentic workflows, and prompt engineering techniques to accelerate development lifecycle activities * Rapidly prototype and validate business concepts through ...
Utilize generative AI, code assistants, agentic workflows, and prompt engineering techniques to accelerate development lifecycle activities * Rapidly prototype and validate business concepts through ...
Cloud and platform infrastructure, data services, and developer tooling * AI-assisted analytics, search, and generative AI Technologies used vary by team and include: * Languages such as Java, C#, F ...
Cloud and platform infrastructure, data services, and developer tooling * AI-assisted analytics, search, and generative AI Technologies used vary by team and include: * Languages such as Java, C#, F ...
Cloud and platform infrastructure, data services, and developer tooling * AI-assisted analytics, search, and generative AI Technologies used vary by team and include: * Languages such as Java, C#, F ...
Cloud and platform infrastructure, data services, and developer tooling * AI-assisted analytics, search, and generative AI Technologies used vary by team and include: * Languages such as Java, C#, F ...
Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or ... Interest in or exposure to building Generative AI modules (e.g.,leveragingAPIs such as OpenAI ...
Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or ... Interest in or exposure to building Generative AI modules (e.g.,leveragingAPIs such as OpenAI ...
Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems - spanning classical machine learning, generative AI, and agentic systems ...
Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems - spanning classical machine learning, generative AI, and agentic systems ...
Establish and maintain enterprise standards for analytics, reporting, data engineering, AI solution ... Establish and operationalize responsible AI governance and lifecycle controls for Generative AI ...
Establish and maintain enterprise standards for analytics, reporting, data engineering, AI solution ... Establish and operationalize responsible AI governance and lifecycle controls for Generative AI ...
Work directly with client engineering, data, and IT/OT teams to understand system constraints and ... Hands-on experience building with Generative AI: LLMs, AI agents, copilots, retrieval-augmented ...
Work directly with client engineering, data, and IT/OT teams to understand system constraints and ... Hands-on experience building with Generative AI: LLMs, AI agents, copilots, retrieval-augmented ...
Applied AI Lead - Edmonton
Edmonton, AB · On-site
Work directly with client engineering, data, and IT/OT teams to understand system constraints and ... Hands-on experience building with Generative AI: LLMs, AI agents, copilots, retrieval-augmented ...
Applied AI Lead - Edmonton
Edmonton, AB · On-site
Work directly with client engineering, data, and IT/OT teams to understand system constraints and ... Hands-on experience building with Generative AI: LLMs, AI agents, copilots, retrieval-augmented ...
Assess risks from AI-enabled threats such as social engineering, synthetic media (deepfakes), and ... Experience with large language models and generative AI applications. * Experience collaborating ...
Assess risks from AI-enabled threats such as social engineering, synthetic media (deepfakes), and ... Experience with large language models and generative AI applications. * Experience collaborating ...
Generative Ai Developer information
What is a generative AI developer?
A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are the key skills and qualifications needed to thrive as a generative AI developer?
To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.
What are some common challenges faced by generative AI developers when deploying models in production environments?
Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.
What is the difference between Generative Ai Developer vs Machine Learning Engineer?
| Aspect | Generative Ai Developer | Machine Learning Engineer |
|---|---|---|
| Credentials | Bachelor's or higher in CS, AI, or related fields; experience with deep learning frameworks | Bachelor's or higher in CS, Data Science, or related fields; strong programming skills |
| Work Environment | Develops AI models for content creation, chatbots, and creative applications | Builds and deploys ML models for various data-driven solutions across industries |
| Industry Usage | Tech, entertainment, marketing, and creative sectors | Finance, healthcare, tech, and e-commerce sectors |
While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.
How to become a generative AI developer?
To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.
What job categories do people searching Generative Ai Developer jobs in Alberta look for?
The top searched job categories for Generative Ai Developer jobs in Alberta are:
Full-time
Re-posted 18 days ago
Job description
Key ResponsibilitiesSkills, Knowledge and Expertise
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.
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).
________________________________________
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.