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Added 3 mins ago
M&
Coatings Engineer
Mitchell & Associates
Vaughan, ON
- Full-time
Design, develop, and test new coatings systems and chemical titrations
Added 18 mins ago
M
Scientist / Senior Scientist, Synthetic Virology for RNA Delivery
Molagri
Toronto, ON
- $130,000 to $160,000 USD / year
- Full-time
We are seeking a hands-on RNA virologist to engineer non-replicative VLP systems that package and deliver programmable RNA payloads in target pest insects.
Added 18 mins ago
V
Mechanical Engineer II
Verathon
Burnaby, BC
- Full-time
Verathon® is looking for a Mechanical Engineer II to become the newest member of our Airway Sustaining Team located in Burnaby, British Columbia.
Added 33 mins ago
SC
Senior Mechanical Engineer
SYSTRA Canada
Montreal, QC
- Full-time
SYSTRA Canada is looking for a mechanical engineer in systems integration to lead the integration and validation of mechanical systems for refurbished passenger cars. They will translate…
Added 33 mins ago
V
Mechanical Engineer
Verathon
Burnaby, BC
- $81,940 to $95,674 CAD / year
- Full-time
Verathon® is looking for a Mechanical Engineer II to become the newest member of our Airway Sustaining Team located in Burnaby, British Columbia.
Added 33 mins ago
NI
Quality Engineer
Norsat International
Richmond, BC
- $40,000 to $50,000 CAD / year
- Volunteer
As a Quality Engineer, you are responsible for coordinating the investigation, troubleshooting, tracking, and execution of corrective actions for customer complaints, internal issues, and…
Added 1 hour ago
MG
Java Engineer
Matrix Global
Toronto, ON
- Full-time
We are seeking a talented and motivated Java Engineer with strong experience in the Microsoft Azure ecosystem to join our growing engineering team. In this role, you will be responsible for…
Added 1 hour ago
JT
Product Development Engineer
jeans test
Engineer, BC
- Full-time
Added 1 hour ago
L
Security Engineer
LiveKit
Canada
- Full-time
…Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for…
Added 1 hour ago
HR
OCS Senior Engineer
Hitachi Rail
Mississauga, ON
- Full-time
Hitachi Rail (STS) is seeking an enthusiastic self-motivated Senior OCS (Overhead Catenary System) Engineer to work on our HMLRT project. As the successful candidate your ideas for…
Added 1 hour ago
K
Senior Engineer, Software Design
Kinectrics
Toronto, ON
- Full-time
Write, test, and troubleshoot software code to ensure compliance with design specifications.
Added 1 hour ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Shape the Future of Construction AI as an AI Software Developer Engineer in Test!
Added 2 hours ago
OC
Metallurgy Supervisor
Orano Canada
SK · Saskatchewan, Canada
- $134,550 to $158,300 CAD / year
- Full-time
A Bachelor’s degree in Chemical or Metallurgical Engineering and eligible for registration as a Professional Engineer with APEGS
Added 2 hours ago
Metallurgy Supervisor
Orano
SK · McClean Lake, Saskatchewan
A Bachelor’s degree in Chemical or Metallurgical Engineering and eligible for registration as a Professional Engineer with APEGS
Added 2 hours ago
AE
D365 Functional Analyst - Human Resources
Associated Engineering
Calgary, AB
- Full-time
…sustainable system configurations, business process designs, test scenarios, and support…
Added 2 hours ago
AC
Mechanical Engineer
Amaris Consulting | Part of Mantu
ON · Ontario, Canada
- Full-time
As a Mechanical Designer / Mechanical Engineer, you will contribute to the design, development, and improvement of mechanical systems and components. You will work closely with…
Added 2 hours ago
SF
Senior Consultant, Digital Analytics - Simplii Financial
Simplii Financial
Toronto, ON
- Full-time
Added 2 hours ago
S
Senior Mechanical Engineer
SYSTRA
Montreal, QC
- Full-time
SYSTRA Canada is looking for a mechanical engineer in systems integration to lead the integration and validation of mechanical systems for refurbished passenger cars. They will translate…
Added 2 hours ago
VM
QA Engineer
Vivid Machines
Toronto, ON
- Full-time
As an Intermediate QA Engineer, you will own the end-to-end Software Testing Life Cycle across our whole product: web applications, mobile apps, backend services, and the camera hardware…
Added 3 hours ago
MO
Test Validation Engineer
Marketers on Demand
Toronto, ON · Greater Toronto Area, Canada
- $36 to $41 CAD / hour
- Contract
Marketers on Demand is partnering with a global leader in rail technology to find an Integration, Test & Validation (ITV) Specialist. You'll join a team testing signaling systems for major…
Added 3 hours ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Design and lead implementation of the core Databricks platform foundation across development, test, and production environments.
Added 3 hours ago
MC
Refrigeration Mechanic
Mobilize Connect
UBC-Point Grey, BC · UBC Vancouver Campus, BC
- Full-time
- Test and optimize equipment performance after repairs
Added 3 hours ago
SO
Sr. Software Engineer
Spirit Omega Inc.
Remote, Canada
- $77 to $85 CAD / hour
- Contract
- Remote
Design, develop, test, and support end-to-end integration solutions using MuleSoft Anypoint Platform.
Added 3 hours ago
HW & SW Applications Admin 1
Celestica International LP
Toronto, ON
3. Software Engineering, DevOps, & Lab Test Support
Added 3 hours ago
RB
Lead Quality Engineer - Data
Royal Bank of Canada
Toronto, ON
- Full-time
The Lead Data Quality Engineer is responsible for creating and executing comprehensive data testing strategies and solutions, with focus on data validation, integrity testing, and quality…

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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