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Added 23 mins ago
J
Staff AI Engineer
Jobgether
Canada
- Full-time
As a Staff AI Engineer, you will play a key role in shaping and delivering high-impact AI initiatives, building production-ready solutions that directly improve customer experiences. You…
Added 23 mins ago
MA
Support Specialist - AI Applications
Marsh Agency
Toronto, ON
- Full-time
This role is responsible for supporting production and business applications, monitoring application health, and proactively identifying and escalating issues to stakeholders. It includes…
Added 23 mins ago
MA
IAM RBAC Business Solution Analyst Lead
Marsh Agency
Toronto, ON
- Full-time
Embed RBAC into the SDLC, change management, compliance, implementation, and post-production support processes.
Added 38 mins ago
BI
Community Manager - Exterminauts | Gestionnaire de communauté Senior·e - Exterminauts
Behaviour Interactive
Montreal, QC
- Full-time
Significant experience managing communities for live-service games, with a strong understanding of player sentiment, engagement, and ongoing content support.
Added 53 mins ago
AA
Design Aérostructure / Airframe Design
Airbus Aircraft
Montreal, QC
- Full-time
Collaborer avec d'autres départements tels que la production, le support client, le bureau de programme, les achats et la planification de produits;
Added 53 mins ago
C
Manager / Senior Manager Key Accounts - Aerospace (ER&D)
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- Full-time
Manufacturing and production engineering support across engine components and modules
Added 53 mins ago
AA
Professionnel en Ingénierie de Fabrication de Faisceaux Électriques / Harness Manufacturing Engineering Professional
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- Full-time
…Électriques sera de Piloter la qualité et l'efficacité de la production en définissant les normes de construction, en gérant l'outillage de fabrication critique et en assurant des méthodes…
Added 53 mins ago
M
Manager - Agronomy - 18-Month Term
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Saskatoon, SK
- Full-time
Strong knowledge of agronomy principles, crop production, and soil science.
Added 1 hour ago
MC
Release Engineer
Meridian Credit Union
St. Catharines, ON · Toronto, ON · Etobicoke, ON
- Full-time
…standards - and operates development and QA environments to pre-production standard as instances of Platform Engineering’s template library. Working within the version-lifecycle and…
Added 1 hour ago
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Technical Solutions Lead
Norcada
AB · Edmonton, AB
- Full-time
…solutions and product options, develop quotations and proposals, support marketing activities, coordinate projects, and provide full-cycle customer…
Added 1 hour ago
M
Senior Java Developer (with LLM expertise)
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Waterloo, ON
- Full-time
…brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we…
Added 1 hour ago
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Senior Software Engineer
BettingJobs
Toronto, ON
- Full-time
Added 1 hour ago
MA
Oliver Wyman - Software Developer - Data & Analytics (DNA) - Montreal
Marsh Agency
Montreal, QC
- Full-time
Les développeurs logiciels transforment des idées en solutions sécurisées déployées en production dans l’environnement de nos clients. Vous travaillerez de façon complètement intégrée au…
Added 1 hour ago
CB
Baker - Full Time Overnights
COBS Bread
Vaughan, ON
- Full-time
Be responsible for reading production schedules and recipes, measuring and mixing ingredients, moulding and shaping dough, and processing everything through the ovens
Added 1 hour ago
HT
Assembly Technician (Contract)
Husky Technologies
Bolton, ON
- Full-time
…maintaining timecard records, and complying with established production, quality, and safety…
Added 1 hour ago
TI
Business Systems Analyst – RPA & Power Platform
Themesoft Inc.
Toronto, ON
- Contract
Support implementation, production deployment, operational readiness, and post-implementation activities.
Added 2 hours 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 2 hours ago
SI
Plant Manager I
Saputo Inc.
Orangeville, ON
- Full-time
…efficiencies and equipment reliability to effectively meet the production…
Added 2 hours ago
HT
Test Engineering Technologist
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Bolton, ON
- Full-time
Interact on a regular basis with service, manufacturing, assembly and production test; Support product launch
Added 2 hours ago
E
Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
Evertz
Burlington, ON
- Full-time
…that will be used in leading television broadcast and film production facilities around the…
Added 2 hours ago
KC
Distribution Analyst
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Mississauga, ON
- Full-time
…Teams, Vehicle Logistics, Sales Operations, and Dealers to support wholesale objectives, improve inventory efficiency, maintain accurate reporting, and ensure alignment between production,…
Added 2 hours ago
S
Engineering Manager, Services
Slice
Canada
- Full-time
We put technology, marketing, buying power, and support to work for more than 15,000 restaurants, so owners spend less time on admin, marketing, and order management and more time growing…
Added 2 hours ago
GD
Integrated Master Scheduling Specialist
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London, ON
- Full-time
Support master schedule demand requirements across all sites for the Program
Added 2 hours ago
TH
Dietary Aide
The Hospital for Sick Children
Toronto, ON
- Part-time
…efficient operation of the areas of, Terrace Café, Catering, Production, Patient Services, Milk Prep Room and Dish…
Added 2 hours ago
COORDONNATEUR·RICE DE LOCALISATION - CHINOIS TRADITIONNEL/Localization Coordinator, Traditional Chinese
2K
Montreal, QC
…Coordination de la localisation sert de pont opérationnel entre la production de localisation intégrée, la localisation de contenu (CLOC) et l'assurance qualité linguistique (LQA). Nous…

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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