Jobs in Canada

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Added 5 days ago
Test Automation Engineer
Red River Mutual
Winnipeg, MB
Proficiency in programming languages such as Java, Python, or JavaScript.
Added 5 days ago
T
Data Engineer – Databricks & MDM
Teqfocus
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer with 5+ years of experience to support data engineering and master data management initiatives. The ideal candidate brings practical Databricks…
Added 5 days ago
TB
Forward Deployed AI Engineer
Type B Digital
Calgary, AB
- Full-time
…collaboration, and we are looking for a talented Forward Deployed AI Engineer to join us in our…
Added 5 days ago
Java Developer (Onsite Hybrid)
NTT DATA Services
Montreal, QC
NTT Data is seeking a Java Engineer to join the Firm Market Risk Technology team within Risk Tech to develop and enhance the Firm Market Risk Platform. This hands-on role focuses on…
Added 5 days ago
J
Staff AI Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Engineer based in Canada.
Added 5 days ago
MC
Release Engineer
Meridian Credit Union
St. Catharines, ON · Toronto, ON · Etobicoke, ON
- Full-time
The Release Engineer is the senior practitioner and standards-setter for Meridian’s Release Engineering function. The role owns build and code management in practice - branching strategy,…
Added 5 days ago
M
Freelance Mechanical CFD Engineer - AI Trainer
Mindrift
Remote, Canada
- Part-time
- Remote
…simulations, build verified reference solutions, and write Python checks for the agent's…
Added 5 days ago
BC
AI Engineer
BDO Canada
Toronto, ON
- Full-time
As an experienced AI Engineer, you will design, build, and deploy production‑grade AI solutions that bridge experimental machine learning with scalable software engineering. In this…
Added 5 days ago
TY
Azure Operations Engineer
Test Yantra
Toronto, ON
- Full-time
Proficiency in Bash, Python, or PowerShell scripting.
Added 5 days ago
P
Software Engineer- II
PheedLoop
Toronto, ON
- Full-time
2+ years of experience with modern frameworks and tools such as Python / Django, React, Flutter, or similar technologies.
Added 5 days ago
C
Senior Identity Security Engineer
CPKC
Calgary, AB
- Full-time
Proficiency with PowerShell, Python, REST APIs, automation tools, authentication protocols (SAML, OAuth 2.0, OpenID Connect, Kerberos, RADIUS, SCIM), and experience supporting audit,…
Added 5 days ago
MC
Cloud Platform Engineer – Kubernetes (36051)
Myticas Consulting
Toronto, ON
- Contract
Required Qualifications – Must Have · Location Requirement: Candidates must be based in the Greater Toronto Area (GTA)
Added 5 days ago
CC
Student, Engineer Operational Technology
Cameco Corporation
Saskatoon, SK
- Full-time
experience using programming tools, such as C/C++ or Python; and
Added 5 days ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
This client is seeking an experienced Sr. Data Engineer / Data Product Lead to support the design and delivery of enterprise-scale data products within a complex life sciences environment.…
Added 5 days ago
J
Cloud - Bare Metal Infrastructure Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud – Bare Metal Infrastructure Engineer based in Canada.
Added 5 days ago
C
SR Automation TOSCA DI Lead
Cognizant
Mississauga, ON
- Full-time
We are looking for an experienced Test Automation Engineer with strong hands-on expertise in Tricentis TOSCA Data Integrity (TOSCA DI) along with UI test automation using Playwright.
Added 6 days ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 6 days ago
Q
GPU Design Verification Engineer
Qualcomm
Markham, ON
- Full-time
Scripting and automation skills (Python, Make, Airflow etc)
Added 6 days ago
YU
Postdoctoral Researcher
York University
Toronto, ON
- Full-time
Open Position: Postdoctoral Fellow / Research Engineer
Added 6 days ago
SE
Software Engineer
SmartSource Electronics
Mississauga, ON
- Full-time
Role Description This is a full-time, on-site Software Engineer role based in Mississauga, ON. The Software Engineer will design, develop, and maintain backend services and internal tools…
Added 6 days ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
The Observability Experiences team is hiring a Software Engineer 2 to build the next generation of tools and technologies for monitoring services and infrastructure in Azure and Microsoft…
Added 6 days ago
AI
Senior Level 3 AI Engineer – Copilot, ChatGPT, Grok, Claude & Gemini
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok…
Added 6 days ago
MC
Azure Databricks Cloud Migration & Platform Engineer (36101)
Myticas Consulting
Toronto, ON
- Contract
Azure Databricks Cloud Migration & Platform Engineer
Added 6 days ago
MC
Cloud Platform Engineer – Terraform & Database Infrastructure (36050)
Myticas Consulting
Toronto, ON
- Contract
Required Qualifications – Must Have
Added 6 days ago
B
Senior Databricks Data Platform Engineer
Brillio
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…

BDO Canada

AI Engineer

Toronto, ON, Canada

The expected range of compensation for this role is $77,000 to $117,000 annually. · Full-time

Apply on LinkedIn About employer

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Job details

Pay: The expected range of compensation for this role is $77,000 to $117,000 annually.
Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: May 11, 2026

Original 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 a people-first culture with a high priority on your personal and professional growth.

Your Opportunity

As an experienced AI Engineer, you will design, build, and deploy production‑grade AI solutions that bridge experimental machine learning with scalable software engineering. In this replacement role, you will play a critical role in enabling enterprise‑ready AI capabilities with a strong focus on large language models (LLMs), retrieval‑augmented generation (RAG), and agentic workflows, operating within established governance frameworks.

Responsibilities:

Design, build, and deploy robust, scalable, production‑grade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.
Develop, refine, and optimize complex prompt strategies; manage model context windows; and fine‑tune models where required to maximize performance, accuracy, and cost efficiency.
Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloud‑native architectures.
Build, maintain, and optimize vector databases (e.g., Pinecone, Milvus, Weaviate) and design efficient data ingestion and embedding pipelines to support retrieval‑augmented generation (RAG) solutions.
Monitor AI systems in production and proactively address issues related to hallucinations, latency, reliability, scalability, and token‑cost optimization.
Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, Full‑Stack Developers, Service Line Labs, and Citizen Developers on firm‑wide initiatives and internal platforms.
Support AI system documentation, lifecycle management, and control processes in alignment with ISO/IEC 42001 enterprise governance requirements.
Adhere to established AI risk management, data governance, and security policies, and assist with model inventories, traceability, and change‑management activities.
Participate in model testing and validation activities in accordance with the NIST AI Risk Management Framework, including mapping and measuring model risks.
Support the implementation of risk‑mitigation controls and ongoing monitoring, and follow governance processes that promote transparency, accountability, and responsible AI use.

The expected range of compensation for this role is $77,000 to $117,000 annually.

How do we define success for your role?

You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration
You understand your client’s industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high quality work
You identify, recommend, and are focused on effective service delivery to your clients
You share in an inclusive and engaging work environment that develops, retains & attracts talent
You actively participate in the adoption of digital tools and strategies to drive an innovative workplace
You grow your expertise through learning and professional development.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 3–5 years of professional experience in AI, machine learning, or applied software engineering.
Expert‑level proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
Deep hands‑on experience with leading AI and LLM frameworks, including OpenAI APIs, Anthropic, Hugging Face, and LangGraph, along with a strong understanding of LLM‑based application design.
Proven experience designing and implementing retrieval‑augmented generation (RAG) and agentic AI systems, supported by a solid grasp of scalable, production‑grade AI architectures.
Experience working with vector databases as well as SQL and NoSQL data stores, and hands‑on exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform (GCP).
Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads.
Familiarity with machine learning lifecycle and experiment‑tracking tools such as MLflow or Weights & Biases.

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.

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.

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 flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. 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 our careers page.

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More about this job

Responsibilities

Design, build, deploy, and monitor production-grade AI applications, including LLM, RAG, and agentic systems, and integrate them into enterprise environments using APIs, cloud architectures, and data pipelines. Support AI governance, risk management, documentation, testing, validation, and ongoing monitoring in accordance with established frameworks and policies.

Requirements

Requires a bachelor’s or master’s degree in computer science, engineering, or a related field, with 3–5 years of professional experience in AI, machine learning, or applied software engineering. Candidates should have expert Python skills, hands-on experience with LLM frameworks, RAG and agentic systems, vector and other databases, cloud platforms, and DevOps/MLOps tools and practices.

Skills

Python
Java
TypeScript
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Prompt Engineering
LangChain
LlamaIndex
LangGraph
Vector Databases
RESTful APIs
Cloud-Native Architecture
Docker
Kubernetes
MLOps

Benefits

Flexible Benefits
Personal Time Off
Wellness Reimbursement
Learning And Development Opportunities
Community Involvement Opportunities
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Agentic Workflows
Python
Java
TypeScript
OpenAI APIs
Anthropic
Hugging Face
LangChain
LlamaIndex
LangGraph
AutoGPT
Prompt Engineering
Vector Databases
Pinecone
Milvus
Weaviate
RESTful APIs
Microservices
Azure AI
AWS Bedrock
Google Cloud Platform
Docker
Kubernetes
CI/CD
MLflow
Weights & Biases

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Work requirements

Jobs in Canada