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Full Stack Ai Engineer Jobs in Alberta (NOW HIRING)

Your day-to-day work spans the full stack: TypeScript on both the backend (Node.js) and frontend ... Collaborate daily with a product manager and data scientist to shape how AI-driven insights are ...

About the Role The Senior Software Engineer is a hands-on technical contributor embedded in our ... You bring strong full-stack experience, anticipate future needs, mentor peers, and make decisions ...

AI-assisted analytics, search, and generative AI Technologies used vary by team and include ... Experience with cloud-native development, full-stack or web application development, or data ...

Serve as a senior full-stack technical contributor across frontend, backend, database, and cloud ... Contribute to AI-enabled product capabilities, including Retrieval-Augmented Generation (RAG ...

Machine Learning Engineer

Calgary, AB · Hybrid

CA$129K - CA$174K/yr

... full stack developers across a variety of projects What you may have: * Hands-on experience in ... In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our ...

This role sits at the intersection of software engineering, data engineering and applied AI: you ... Comfort working across the stack -- from raw data ingestion through to model serving and API ...

Promise Robotics is pioneering Physical AI for homebuilding - a rapidly growing, venture-backed ... Work alongside other Software Developers to develop full-stack software solutions built for ...

Promise Robotics is pioneering Physical AI for homebuilding - a rapidly growing, venture-backed ... Work alongside other Software Developers to develop full-stack software solutions built for ...

Full-Stack Development or Backend Expertise:Proficiencyin Python and/or C#, with experience ... Agentic AI and Intelligent Application Development: Hands-on experience building AI-enabled ...

Strong knowledge of Azure AI Services, Logic Apps, and AI Builder, custom plug-in. Strong software engineering background - C#.net/Full-Stack development Exposure to Power Pages and its customization ...

Showing results 41-60

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?

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 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:

Infographic showing various Full Stack Ai Engineer job openings in Alberta as of August 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 71% In-person, 3% Hybrid, and 26% Remote job distribution.

AI Scientist & Engineer, Assurance Innovation Lab

BDO Canada

Edmonton, AB • Hybrid

Full-time

PTO

Re-posted 24 days ago


Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and scalable enterprise software engineering in our new Assurance Innovation Lab.

The Assurance Innovation Lab (ASR Labs) serves as the experimentation, innovation, and solution development engine supporting our practice. Working alongside other functions nationally - including our Innovation Operations, AI Studio - Central Lab, Central Data Team, and Innovation & Change (I&C) - you will help ideate, design, prototype, develop, and deliver scalable solutions that modernize how work gets done across our Assurance practice.

In this net new role, you will work with a team dedicated to building modern applications, intelligent workflow solutions, integrations, and AI-enabled platforms that support business transformation and operational modernization initiatives across our practice. You will be reporting to our Head of ASR Transformation, and have a dotted line to our technically astute managers in our AI Studio - Central Lab.

This hybrid role is responsible for extracting high-value insights from complex datasets, training custom large language models (LLMs), and designing, building, and deploying production-grade agentic workflows and retrieval-augmented generation (RAG) solutions. Operating under enterprise governance frameworks like ISO/IEC 42001 and the NIST AI Risk Management Framework (AI RMF), you will deliver responsible, scalable, and highly impactful AI systems that drive true business transformation.

The ideal candidate for this role will have 3-5 years of hands-on experience building, fine-tuning, deploying, and monitoring machine learning models and Generative AI solutions in an enterprise production environment. This role rests on the ability to work cross-functionally with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, Full Stack Developers, and citizen developers on firm-wide strategic initiatives.

Key Responsibilities:

AI, Machine Learning & Advanced Analytics

  • Design, build, train, and optimize machine learning and AI models to support Assurance transformation initiatives

  • Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics, and automation capabilities

  • Support experimentation and prototyping of emerging AI technologies and use cases within Assurance

  • Evaluate model performance, explainability, reliability, and responsible AI considerations

  • Contribute to development of scalable AI-enabled workflows and intelligent operational solutions

Cross-Functional Collaboration & Business Partnership

  • Partner closely with Transformation Relationship Managers (TRMs), Assurance practitioners, Innovation & Change (I&C), Data & Analytics, and leadership teams

  • Contribute to multidisciplinary teams focused on solving business problems through technology, AI, automation, and workflow redesign

  • Support rapid experimentation, prototyping, and scaling of innovative solutions within the Assurance R&D Lab

  • Help bridge strategy, business operations, and technical execution to accelerate transformation outcomes

  • Translate complex business problems into practical analytical and AI-driven solutions

  • Participate in discovery sessions, design thinking workshops, ideation activities, and working groups

Data Engineering & Platform Enablement

  • Collect, clean, transform, and analyze large and complex datasets from multiple sources

  • Build and maintain scalable data pipelines and model integration frameworks

  • Support connected data and intelligence capabilities aligned to the broader Total Assurance Ecosystem strategy

  • Work with cloud-based environments and modern AI infrastructure to support scalable deployment and operationalization

  • Collaborate with engineering teams to productionize and operationalize solutions

Innovation & R&D Collaboration

  • Work closely with the Assurance R&D Lab to validate concepts, prototype solutions, and scale successful initiatives

  • Stay informed on emerging trends across AI, automation, Assurance technology, data science, and intelligent systems

  • Help evaluate external tools, platforms, and ecosystem opportunities relevant to Assurance Transformation

  • Contribute to a culture of experimentation, innovation, and continuous improvement

Requirements

  • Programming Languages: Expert-level Python is required. Professional proficiency in R, Scala, Java, or TypeScript is highly desirable

  • AI & LLM Frameworks: Deep experience with OpenAI API, Anthropic, Hugging Face, LangChain, LlamaIndex, and LangGraph

  • Data Science & Deep Learning: Comprehensive experience with PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, and Matplotlib

  • Model Training: Practical knowledge of training and fine-tuning open-source LLMs/transformers (e.g., Llama, Mistral) and implementing Knowledge Graphs

  • Data & Vector Infrastructure: Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases

  • DevOps / MLOps: Advanced proficiency with Docker, Kubernetes, Nvidia Triton Inference Server, and MLOps tracking platforms (MLflow, Weights & Biases)

  • Cloud Platforms: Strong working knowledge of enterprise cloud environments including Microsoft Azure (Azure AI / AI Foundry), AWS (Bedrock), or GCP

  • Architecture & Patterns: Demonstrated mastery of Retrieval-Augmented Generation (RAG) architectures and multi-Agent AI design patterns

Ideal Candidate Will Have

  • A systematic approach to problem-solving and devising practical solutions for complex enterprise bottlenecks

  • Published academic research in top-tier ML/AI conferences/journals OR demonstrated practical excellence through Kaggle competitions

  • High passion for translating complex data and multi-agent system capabilities into tangible, actionable business value

  • Strong business curiosity and problem-solving mindset

  • Passion for applying AI and data science to practical operational challenges

  • Ability to balance experimentation with scalable execution

  • Strong collaboration and stakeholder engagement skills

  • Interest in workflow modernization, intelligent automation, and future-state operating models

  • Passion for continuous learning and emerging technologies

Why Join the Assurance Innovation Lab?

This is an opportunity to help build the future of Assurance through modern platforms, intelligent workflows, and scalable AI-enabled solutions.

You will join a high-performing team to work on high-impact transformation initiatives that directly influence how the business operates and delivers value.

The role offers exposure to:

  • Enterprise transformation and innovation programs

  • AI-enabled applications and intelligent workflow solutions

  • Modern cloud and engineering ecosystems

  • Cross-functional collaboration with Assurance, AI-Studio, Data & Analytics, Innovation & Change, and leadership teams

  • Rapid experimentation and enterprise-scale delivery initiatives

  • Most importantly, you will help create practical solutions that improve how work gets done across our Assurance practice


Why BDO?
Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2026. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.


At BDO, our people experience is guided by three core pillars-Do work with genuine care, Do what matters with purpose, and Do what's next - shaping how we support our people, serve our clients, and grow together.

Our firm is committed to providing an environment where you can be successful in the following ways:

  • We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
  • We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
  • We support your achievement of personal goals outside of the office and making an impact on your community.
  • We foster a collaborative, inclusive environment where your ideas are valued, and you can do your best work with genuine care and purpose
  • We encourage innovation and forward thinking, empowering you to embrace what's next and help shape the future of our firm

Giving back adds up:Where company meets community.BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide comprehensive benefits from day one, and a flexible personal time off policy. We're committed to supporting your overall wellbeing and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts:
We are committed to creating a workplace where employees can participate fully, contribute meaningfully and succeed without barriers. We are dedicated to fostering a workplace defined by respect, fairness, and a true sense of belonging for everyone. We recognize and celebrate the unique experiences, identities, and perspectives that each of us bring - and that these experiences strengthen how we work together. Our commitment extends to ensuring that our application process is both inclusive and accessible. If you require accommodation to complete the application process, please contact us.


Flexibility:
All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada's Privacy Policy can be found here:

Privacy Policy | BDO Canada


Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.


To explore other opportunities at BDO, check out ourcareers page.


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