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Full Stack Ai Engineer Jobs in Alberta (NOW HIRING)

Finning

Senior Full Stack Developer

Edmonton, AB · Hybrid

The Senior Full Stack Developer is responsible for designing, building, and evolving modern digital ... and SRE best practices. Strongly Preferred: * Experience building AI-enabled enterprise ...

Basetwo

Software Engineer, Full Stack

Calgary, AB · On-site +1

Basetwo provides manufacturing engineers with a low code AI platform that helps them troubleshoot ... Ingest and connect siloed databases The Role As a Full Stack Engineer, you will be working on one ...

xMentium

Senior Full Stack Developer

Calgary, AB · On-site

Our AI-powered platform, anchored by xTract, transforms sprawling repositories of contracts ... Our ideal candidate could also contribute as a Forward-Deployed Engineer on our Solutions Delivery ...

TELUS

AI Lead/Developer

Calgary, AB · On-site

Description Turn AI Opportunities Into Reality - Lead full-stack development, mentor the next generation of AI engineers, and transform finance operations. Join our team and what we'll accomplish ...

TELUS

AI Lead/Developer

Edmonton, AB · On-site

Description Turn AI Opportunities Into Reality - Lead full-stack development, mentor the next generation of AI engineers, and transform finance operations. Join our team and what we'll accomplish ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Alberta

Full Stack Ai Engineer information

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Alberta? For Full Stack Ai Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Alberta look for? The top searched job categories for Full Stack Ai Engineer jobs in Alberta are:
What cities in Alberta are hiring for Full Stack Ai Engineer jobs? Cities in Alberta with the most Full Stack Ai Engineer job openings:
Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Alberta as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

Senior Full Stack Developer

Finning

Edmonton, AB • Hybrid

Full-time

Posted 8 days ago

Job description

Company:Finning CanadaNumber of Openings:1Worker Type:PermanentPosition Overview:Finning Canada is looking to hire a permanent, full-time Senior Full Stack Developer who will report to the Solutions Delivery Lead in Surrey or Edmonton.
The Senior Full Stack Developer is responsible for designing, building, and evolving modern digital products that deliver measurable business value. This role combines deep software engineering expertise with AI-assisted development practices, leveraging emerging technologies, cloud platforms, and agentic development frameworks to accelerate delivery while maintaining enterprise standards.
The successful candidate will partner closely with business stakeholders, product owners, architects, and delivery teams to transform ideas into scalable solutions. They will utilize AI-powered development tools to rapidly prototype, build, test, and deploy solutions while ensuring security, performance, maintainability, and business alignment.
As a senior member of the team, this individual provides technical leadership, mentors developers, establishes development standards, and champions modern engineering practices including AI-assisted development, DevSecOps, platform engineering, and continuous improvement.
Why Join Finning?
Strong career progression opportunities
Collaborative, supportive, and high-performing team
Hybrid work model: 2-to-3 days/week in office
Competitive compensation: $120,000 - $130,000 base + bonus + medical benefitsJob Description:Major Job Functions:Solution Delivery (50%)

  • Design, develop, test, and deploy modern full-stack applications and digital products

  • Build scalable cloud-native solutions using modern web, mobile, API, and integration technologies

  • Leverage AI-assisted development tools and agentic software engineering frameworks to accelerate solution delivery

  • Translate business requirements into secure, scalable, maintainable solutions

  • Perform code reviews and ensure adherence to enterprise engineering standards

AI-Enabled Development & Innovation (20%)

  • Utilize generative AI, code assistants, agentic workflows, and prompt engineering techniques to accelerate development lifecycle activities

  • Rapidly prototype and validate business concepts through AI-assisted development approaches ("Vibe Coding")

  • Evaluate and recommend emerging AI technologies, frameworks, and development tools

  • Partner with business stakeholders to identify opportunities for AI-driven automation and productivity gains

  • Champion responsible AI development practices and governance standards

Technical Leadership (15%)

  • Provide technical guidance and mentorship to development team members

  • Lead architecture discussions and design reviews

  • Promote engineering best practices, reusable components, and platform standards

  • Support team capability growth in AI-assisted development and modern engineering techniques

Operational Excellence (10%)

  • Support production applications and resolve incidents, defects, and performance issues

  • Monitor application health, reliability, and security

  • Participate in continuous improvement of CI/CD, DevOps, and operational processes

Planning & Estimation (5%)

  • Provide solution estimates and technical assessments

  • Identify risks, dependencies, and delivery considerations

  • Report progress and proactively escalate issues

Accountability:

  • Deliver high-quality software solutions that meet business objectives

  • Ensure solutions are secure, scalable, supportable, and aligned with enterprise architecture

  • Apply AI tools responsibly while maintaining accountability for solution quality

  • Ensure code, prompts, AI-generated artifacts, and configurations are properly governed and version controlled

  • Contribute to continuous improvement of engineering practices and delivery capabilities

  • Mentor and develop team members

  • Identify and manage technical debt and system risks

  • Maintain compliance with change management, security, and governance standards

Qualifications & Experience:

  • Post-secondary degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.

  • 7+ years of experience designing, developing, and delivering enterprise software solutions.

  • 5+ years of experience building modern web applications, APIs, and distributed systems.

  • Experience working in Agile product delivery environments.

  • Experience with cloud platforms, preferably Microsoft Azure.

Core Technical Skills:Full Stack Development:

  • Expertise in modern frontend frameworks such as Angular, React, or similar technologies.

  • Strong backend development experience using .NET/C#, Node.js, or comparable technologies.

  • Proficiency in SQL and modern data platforms.

  • Experience developing and integrating RESTful APIs and enterprise integration solutions.

Cloud & Enterprise Architecture:

  • Cloud-native application development and architecture.

  • Microservices, event-driven, and distributed system architectures.

  • Enterprise integration and API management patterns.

  • Modern observability, monitoring, and performance optimization practices.

DevOps & Software Delivery:

  • Git-based source control and collaborative development workflows.

  • CI/CD pipeline development and automation.

  • Infrastructure as Code (IaC).

  • Containerization and orchestration technologies (Docker, Kubernetes).

  • Automated testing and quality engineering practices.

  • DevSecOps and Site Reliability Engineering (SRE) principles.

Security & Governance:

  • Secure software development practices.

  • Knowledge of security, privacy, compliance, and governance requirements.

  • Understanding of Responsible AI development and governance principles.

AI-Assisted Development & Automation:AI Development Skills:

  • Experience leveraging AI-assisted software development tools and workflows.

  • Prompt engineering for software design, development, and delivery.

  • Agentic development workflows and AI-driven automation.

  • AI-assisted code review, testing, optimization, and refactoring.

  • Rapid prototyping using AI-powered development platforms.

  • Human-in-the-loop validation, quality assurance, and risk management.

  • Ability to translate business outcomes into requirements, prompts, and production-ready solutions.

Preferred AI Technologies:

  • Experience with GitHub Copilot, Microsoft Copilot, Cursor, Windsurf, Devin, or similar AI development platforms.

  • Experience building AI-enabled applications, intelligent automation solutions, or AI-powered user experiences.

  • Experience with Azure AI Foundry, Azure OpenAI, Copilot Studio, Semantic Kernel, LangChain, or comparable AI frameworks and services.

Technical Knowledge:

  • Modern software engineering methodologies, including Agile, Lean, and Product Delivery practices.

  • Cloud architecture patterns and scalable application design.

  • Enterprise integration and API management strategies.

  • AI-assisted software development practices and emerging engineering trends.

  • Security, compliance, DevSecOps, and SRE best practices.

Strongly Preferred:

  • Experience building AI-enabled enterprise applications.

  • Experience with Azure AI services and modern AI frameworks.

  • Experience with observability and monitoring platforms.

  • Experience with Docker, Kubernetes, and cloud-native deployment models.

Soft Skills:

  • Excellent problem-solving and critical-thinking skills

  • Strong communication and stakeholder management capabilities

  • Ability to quickly learn and adapt to emerging technologies

  • Strong business acumen and product mindset

  • Ability to balance speed, quality, security, and maintainability

  • Collaborative leadership and mentoring skills

At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do notdiscriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities.Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter.

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