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Added 20 mins 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 20 mins ago
Java Developer (Onsite Hybrid)
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Montreal, QC
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Added 50 mins ago
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Staff AI Engineer
Jobgether
Canada
- Full-time
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Added 2 hours ago
BC
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Toronto, ON
- Full-time
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Added 4 hours ago
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- $60 to $80 CAD / hour
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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.…
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Forward Deployment Engineer Lead - Manufacturing
''
Toronto, ON
- Full-time
- Other
Position Title: Forward Deployment Engineer Lead - Manufacturing
Added 8 hours ago
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Staff Machine Learning Engineer, Sensors & Intelligence
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Canada
- Full-time
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- Full-time
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Added 9 hours ago
TU
Energy Conservation Engineer
The University of British Columbia
Vancouver, BC
- $9,599.75 to $14,385.5 CAD / month
- Full-time
The role of the Energy Conservation Engineer is to create energy conservation measures for a profound reduction in energy consumption and equivalent greenhouse gas emissions from the UBC…
Added 9 hours ago
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Toronto, ON
- Full-time
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Added 10 hours ago
YU
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York University
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- Full-time
Open Position: Postdoctoral Fellow / Research Engineer
Added 12 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &…
Added 12 hours ago
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Azure Databricks Cloud Migration & Platform Engineer (36101)
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Azure Databricks Cloud Migration & Platform Engineer
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Senior Databricks Data Platform Engineer
Brillio
Canada
- Contract
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Added 12 hours ago
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Canada
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Added 12 hours ago
1
Product Builder / Senior Product Engineer - AI Products
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- Full-time
Added 13 hours ago
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Senior Advisor, Product Line Management, Maintenance & Managed Services
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- Full-time
Serve as the expert portfolio advisor for complex maintenance, managed-service and resident-engineer opportunities.
Added 13 hours ago
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Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva Canada
Markham, ON
- Full-time
Aviva Canada is looking for a Data Engineer to support our enterprise data modernization journey. You’ll use your expertise across modern and legacy platforms to build robust data pipelines…
Added 14 hours ago
UO
Energy Conservation Engineer
University of British Columbia
Vancouver, BC · UBCV | Campus Energy Centre (CEC)
- $9,599.75 to $14,385.5 CAD / month
- Full-time
The role of the Energy Conservation Engineer is to create energy conservation measures for a profound reduction in energy consumption and equivalent greenhouse gas emissions from the UBC…
Added 14 hours ago
T
Engineer I
TD
Mississauga, ON · Toronto, ON
- Full-time
TD Enterprise Protect Analytics Engineering Team is responsible for managing the bank's cyber security logging and monitoring systems, providing technical guidance and direction.
Added 14 hours ago
T
Engineer I
TD
Toronto, ON
- Full-time
TD Enterprise Protect Analytics Engineering Team is responsible for managing the bank's cyber security logging and monitoring systems, providing technical guidance and direction.
Added 14 hours ago
LC
Staff Data Engineer - Retail Media Platform
Loblaw Companies Limited
Toronto, ON
- Full-time
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Added 14 hours ago
AI
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Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
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BDO Canada

AI Engineer

Toronto, ON, Canada

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

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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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