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Added 26 mins ago
J
QA Engineer (Early Career) (Canada)
Jobright.ai
Canada
- Full-time
…your route to the best job outcomes. They are seeking a QA Engineer to design and execute test plans, identify bugs, and collaborate with teams to ensure product…
Added 26 mins ago
SS
Electrical Engineer IV
Select Source International
Markham, ON
- $70 to $80 USD / hour
- Contract
Position Summary: The Electrical Engineer designs, develops, and tests electrical systems and components to ensure functionality and efficiency. Responsibilities: Assist in designing and…
Added 26 mins ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
…for our clients, helping secure their cloud environments and software development processes. In this consulting role, you will tackle complex security challenges – performing analyses,…
Added 26 mins 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 57 mins ago
KG
IAM Automation Engineer (Python & PingDS Focus)
K&K Global Talent Solutions INC.
Quebec, QC
- Full-time
We are seeking a highly analytical IAM Automation Engineer who uniquely bridges the gap between Identity & Access Management (IAM) infrastructure and core Python software engineering. In…
Added 57 mins ago
AS
Technical Sourcing Recruiter II (Vancouver)
Apex Systems
Vancouver, BC
- $38 to $58 USD / hour
- Contract
We are seeking an experienced Technical Recruiter / Sourcer to support hiring for Software Development Engineer (SDE) positions across high-growth technology teams. This role will focus on…
Added 57 mins ago
Canada Tax Technology Group (CTTG) - Manager, AI Adoption & Enablement
EY
Toronto, ON
…service, and unlock capacity. Rather than focusing on large-scale software development, you will help teams rapidly solve business problems using existing AI tools and platforms such as…
Added 1 hour ago
S
Android Software Engineer
Semperis
Remote, Canada
- Full-time
- Remote
We're looking for an Android Software Engineer to join our team. As part of our growing team, you'll play a key role in protecting enterprises from cyber threats, while working with some of…
Added 1 hour ago
S
Senior Full-Stack Engineer, NimbleRx
Swoop
Toronto, ON
- Full-time
As a Senior Full-Stack Engineer, you will have a hand in architecting the technology and customer experience that are pivotal to multiple web products for patients, pharmacies, and other…
Added 1 hour ago
S
Senior Backend Engineer, NimbleRx
Swoop
Toronto, ON
- Full-time
As a Senior Backend Engineer, you will have a hand in architecting the technology and customer experience that are pivotal to multiple web products for patients, pharmacies, and other…
Added 1 hour ago
S
Senior Data Engineer, NimbleRx
Swoop
Toronto, ON
- Temporary
As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 1 hour ago
R
Staff AI Architect/Engineer
RBC
Toronto, ON
- Full-time
This is a tremendous opportunity to reinvent architecture in the AI Age. As a Staff AI Architect/Engineer, you will operate at the intersection of hands-on AI building and enterprise…
Added 1 hour ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team.…
Added 1 hour ago
Canada Tax Technology Group (CTTG) - Manager, AI Adoption & Enablement - Calgary
EY
AB · Calgary, AB
…service, and unlock capacity. Rather than focusing on large-scale software development, you will help teams rapidly solve business problems using existing AI tools and platforms such as…
Added 2 hours ago
MC
Program Chief Engineer – Spacecraft Satellite Systems (35863)
Myticas Consulting
Canada
- Full-time
Program Chief Engineer – Spacecraft / Satellite Systems
Added 2 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 2 hours ago
ES
Tosca QE
Epsilon Solutions Ltd.
Toronto, ON
- Contract
As a Quality Engineer you will plan and conduct a wide range of software quality tests and analyzes to ensure all application products and services meet organizational standards aligned to…
Added 2 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team.…
Added 2 hours ago
H
Sensor Fusion Engineer
Hexagon
Calgary, AB
- Full-time
Hexagon’s Autonomy & Positioning division is looking for a Sensor Fusion Engineer to join our high-tech engineering and manufacturing company that is committed to customer service…
Added 2 hours ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 2 hours ago
BR
Senior Software Engineer
BITS Recruiting
Toronto, ON
- Contract
Our client is seeking a Senior Software Developer – ETL to support the design, development, testing, maintenance, and enhancement of data warehousing, ETL, business intelligence, reporting,…
Added 2 hours ago
MC
Staff Embedded Software Firmware Engineer (35836)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Staff Embedded Software/Firmware Engineer to design, develop, and test mission-critical firmware components for advanced embedded optical systems. This is a one-year…
Added 2 hours ago
MC
Principal Embedded Software Firmware Engineer (35837)
Myticas Consulting
Ottawa, ON
- Contract
Principal Embedded Software/Firmware Engineer
Added 2 hours ago
MC
Senior Embedded Software Firmware Engineer (35835)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Embedded Software/Firmware Engineer to develop and test next-generation firmware for advanced embedded optical systems. This is a one-year contract based in Ottawa,…
Added 2 hours ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
The Network Service Engineer will work closely with Commercial, Product, Sales Engineering, Customers, Network Engineering, and external contractor teams to provide technical guidance on…

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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