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Added 6 mins ago
Senior Specialist, Software Engineering (Microsoft Dynamics 365 CRM)
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC
Join the Business Solutions Engineering team, in the Senior Specialist, Software Engineer (Microsoft Dynamics 365 CRM) position, where the next generations of software applications are…
Added 20 mins ago
L
Artificial Intelligence Engineer
Levio
Canada
- Full-time
We embed engineers directly inside enterprise clients to find, build, and ship AI and agentic systems that reach production and stay there. A Forward Deployed Engineer runs discovery with…
Added 20 mins ago
A
Software Development Engineer In Test
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
This Software Development Engineer in Test (SDET) role focuses on designing, developing, and maintaining automated test scripts and tools in Python to validate new features for advanced…
Added 20 mins ago
A
Hardware Design Engineer (Open Interest)
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Full-time
Working with firmware, software, systems, and manufacturing teams
Added 20 mins ago
A
Systems Engineer (Open Interest)
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Full-time
Are you a Systems Engineer interested in exploring new opportunities?
Added 20 mins ago
EI
Product Engineer
ergoCentric Inc
Mississauga, ON
- Full-time
We are seeking a proactive, structured, and hands-on Product Engineer to join our engineering team. As our company scales, we are actively modernizing our engineering infrastructure,…
Added 20 mins ago
A
Embedded Software / Python Test Engineer (Open Interest)
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Full-time
Embedded Software / Python Test Engineer Talent Network (Open Interest)
Added 50 mins ago
AL
Full Stack Engineer
Artech L.L.C.
Mississauga, ON
- $70 to $80 CAD / hour
- Contract
…from the initial conversation through design, development, integration, testing, and…
Added 51 mins ago
FM
Senior Software Engineer – Quality Assurance
Ford Motor Company
Ottawa, ON
- Full-time
The Senior Software Engineer – Quality Assurance is responsible for applying advanced quality methodologies and tools to proactively identify, analyze, and eliminate potential defects…
Added 1 hour ago
Z
Senior Software Developer
Zynga
Toronto, ON
- $99,800 to $147,680 CAD / year
…desire to work in a team with dynamic strengths. The Senior Software Engineer will be working with a complementary team of software engineers to craft and maintain Zynga’s core Payments…
Added 1 hour ago
DS
Senior AI Engineer / Architect
D3 Security
Vancouver, BC
- Full-time
maryWe are looking for a Senior AI Engineer to help architect and scale AI-powered product systems across our platform and engineering workflows. This role is best suited for someone with…
Added 1 hour ago
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Electronic Hardware Engineer
Percucision
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a full-time Hardware Engineer who wants to take meaningful ownership of the electronics and PCB architecture of our medical device. The role is centered on hardware…
Added 2 hours ago
H
Senior Test & Validation Engineer
Humanoid
Burnaby, BC
- Full-time
As a Senior Test and Validation Engineer at Humanoid, you will be responsible for bringing new hardware subsystems into a functional, controllable, measurable, and integration-ready state,…
Added 2 hours ago
RB
Lead Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Are you a hands-on data platform engineer who thrives on building cloud-native, high-scale data platforms and enabling teams on top of them? Come join us!
Added 2 hours ago
BS
Senior SRE/AI Engineer
BayOne Solutions
Canada
- Contract
Strong hands-on Python, scripting, APIs, and system integration experience.
Added 2 hours ago
M
Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Strong Python and SQL, with solid software engineering fundamentals such as Git-based workflows, code reviews, unit and integration testing, logging, readable code structure, debugging, and…
Added 2 hours ago
IF
Senior Data Developer
Intact FC
Montreal, QC
- Full-time
Integration: Publish trusted data to downstream consumers, such as EDP for reporting and legacy systems through file-based backfeeds, working closely with the Java backend team.
Added 3 hours ago
AI Engineer
Bell
Toronto, ON
Strong software engineering foundation: Proven proficiency in Python, clean code architecture, robust API design, and integration with production enterprise systems.
Added 3 hours ago
AI
AI Security Engineer
Avanciers Inc.
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a contract role for one of our premier client in Canada for AI Security Engineer.
Added 3 hours ago
T
AVP, Analytics, Insights and AI, AI Product
TD
Toronto, ON
- Full-time
Ability to constructively challenge architecture, integration, cloud/platform, API, reliability, security and cost trade-offs without being the principal engineer or model developer.
Added 3 hours ago
C
Lead Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
…robust, highly available, and scalable enterprise application systems. This role combines hands-on engineering in modern Java ecosystems (Java 17+, Spring Boot, Kafka, Cloud Native) with…
Added 4 hours ago
LM
MECHANICAL DESIGNER
Laframboise Mechanical Electrical Ltd
Long Sault, ON
- Full-time
Use nesting software to prepare sheets and plate patterns for CNC plasma cutting.
Added 4 hours ago
DT
Salesforce Marketing Cloud Lead Engineer
Diligente Technologies
Mississauga, ON
- Full-time
We are looking for a Salesforce Lead Engineer – Marketing Cloud Advanced to lead the design, development, integration, and delivery of scalable Salesforce Marketing Cloud solutions. The…
Added 4 hours ago
X
Engineer
Xero
Vancouver, BC
- Full-time
You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex,…
Added 4 hours ago
A
Security Research Engineer – AI & Emerging Cybersecurity / Toronto, ON (Hybrid) FTE
AceStack
Toronto, ON
- Full-time
We are seeking a Security Research Engineer with strong hands-on expertise in cybersecurity research, software engineering, AI/GenAI security, Agentic AI, and emerging security technologies.

Bell

AI Engineer

Toronto, ON, Canada

Hybrid

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Job details

Workplace: Hybrid
Apply by: Oct 22, 2026
Experience: 2 to 4 years of professional software engineering or data science experience, including at least 1 to 2 years of hands-on experience building with LLMs and agentic architectures.
Posting language: English
Posted: Oct 5, 2026

Original job description

Req Id: 433042

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell.

Summary

The Team

The Applied AI & Data Science team builds and deploys production-grade AI solutions across Bell. We bridge the gap between cutting-edge AI research and operational enterprise systems, delivering autonomous agentic workflows, conversational intelligence, and machine learning systems that transform our internal operations and customer experiences.

Position Description

We are looking for a hands-on AI Engineer (CP2) to design, build, and deploy the next generation of AI-driven workflows and autonomous systems at Bell.

In this role, you will work closely with data scientists, senior engineers, and business squads to turn prototypes into reliable, production-ready AI applications. You will focus on building agentic workflows, integrating tools and enterprise services via modern protocols (such as Model Context Protocol), and connecting foundation models to enterprise data sources. The ideal candidate combines a strong software engineering foundation with a practical, builder mindset in the rapidly evolving LLM and agent ecosystem.

Key Responsibilities

Build & Ship Agentic Applications: Develop, test, and deploy stateful, multi-step agentic workflows and tool-calling systems that automate complex operational and analytical processes.
Enterprise System Integration: Implement robust APIs, connectors, and protocols (such as Model Context Protocol / MCP) to securely connect AI agents to internal services, databases, and enterprise platforms.
Data & Knowledge Grounding: Build and maintain scalable data retrieval pipelines over structured and unstructured data, utilizing vector search and retrieval-augmented (RAG) architectures to ensure model accuracy and contextual awareness.
Squad Collaboration: Partner with cross-functional squads (data scientists, product managers, and enterprise architects) to take solutions from rapid proof-of-concept to production deployments.
Reliability & Quality: Implement evaluation metrics, automated unit/integration tests, and observability to monitor model performance, latency, cost, and reliability in production.

Critical Qualifications

A degree in Computer Science, Engineering, or a related field.

2 to 4 years of professional software engineering or data science experience, including at least 1 to 2 years of hands-on experience building with LLMs and agentic architectures.
Strong software engineering foundation: Proven proficiency in Python, clean code architecture, robust API design, and integration with production enterprise systems.
Hands-on experience with modern AI patterns: Practical familiarity with tool/function calling, agent orchestration patterns, and retrieval-augmented generation (RAG) over enterprise data.
Cloud & Data Systems: Experience deploying and operating applications on a major cloud platform (e.g. Google Cloud Platform) and working with structured/unstructured databases.
Continuous Learning: An active habit of staying current with fast-moving foundation model capabilities, agent protocols, and developer tooling.

Preferred Qualifications

Experience deploying AI applications within enterprise environments (e.g. GCP, microservices architecture, enterprise SaaS integrations).
Familiarity with emerging open standards in AI tooling (e.g. Model Context Protocol / MCP, agent evaluation frameworks).
Practical exposure to LLMOps / MLOps practices, including prompt evaluation, trace logging, CI/CD, and containerized deployments.
Experience collaborating with or working alongside data science teams to productionize analytical pipelines.
A public GitHub portfolio or open-source contributions demonstrating hands-on experimentation with agents or LLMs.

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Toronto || Canada : Ontario : Mississauga
Work Arrangement: Hybrid
Application Deadline: 10/21/2026

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements.If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Toronto

Bell, one of Canada's Top 100 Employers.

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More about this job

Responsibilities

The AI Engineer will design, build, and deploy production-grade agentic workflows and autonomous systems. They will collaborate with cross-functional teams to integrate foundation models with enterprise data sources and ensure system reliability.

Requirements

Candidates must have a degree in Computer Science or Engineering and 2 to 4 years of professional experience, including 1 to 2 years working with LLMs. Proficiency in Python, API design, and cloud-based data systems is required.

Skills

Python
LLM
Agentic workflows
RAG
Machine learning
API design
GCP
Vector search
Model Context Protocol
Software engineering
Data science
System integration
MLOps
Prompt evaluation
Containerization
CI/CD

Benefits

Medical benefits
Dental benefits
Vision benefits
Mental health benefits
Service discount
Exclusive partner offers

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Python
LLM
Agentic workflows
RAG
Machine learning
GCP
API
Model Context Protocol
Vector search
Data science
MLOps
CI/CD
Containerization
Enterprise systems
Software engineering
Automation
Observability
Prompt evaluation
Microservices
Cloud computing
Data retrieval
Foundation models
Production deployment
Scalable architecture

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