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Added 24 days ago
Conversational AI Developer
Bell
Toronto, ON
Bell is seeking a Conversational AI Developer to join an innovative, customer-focused team. You’ll build and improve virtual assistants that help Bell customers get answers and get things…
Added 24 days ago
DevOps Engineer
Capgemini
Toronto, ON
Automate infrastructure and operational activities using Python, Bash, Ansible, and similar tools.
Added 24 days ago
T
Développeur Python
TEKsystems
Montreal, QC
- $80 to $95 CAD / hour
- Contract
We are seeking a Python Developer for a 6-month contract, with the possibility of renewal based on project needs and consultant performance.
Added 24 days ago
F
Intermediate Software Developer in Test
Fortinet
Burnaby, BC
- Full-time
- Experience with Python scripting and automation development.
Added 24 days ago
DI
Full Stack Developer – Gen AI (1796) $75-80hr
Direct IT Recruiting Inc.
Toronto, ON
- $75 to $80 CAD / hour
- Contract
Proven experience as a Full Stack Developer with expertise in Python (FastAPI) and Vue.js.
Added 24 days ago
UT
Model Risk Governance Specialist # 26-26038
US Tech Solutions
Montreal, QC
- $60 CAD / hour
- Contract
Added 24 days ago
ZC
Python & Database Developer
Ztek Consulting
Montreal, QC
- Full-time
I would like to share an excellent opening Contact “Python & Database Developer do go through the details and kindly send me the updated resume.
Added 24 days ago
T
AI Technical Trainer – Microsoft 365 Copilot & Agentic AI
Trainify
Canada
- Contract
Added 24 days ago
O
Senior Network Engineer
OnX
Toronto, ON
- Full-time
Automation and Infrastructure as Code for networking: Terraform (modules/state), Ansible, and scripting (e.g., Python) with Git-based workflows and CI/CD pipelines for repeatable…
Added 24 days ago
OH
Senior Analyst, Clinical Analytics (Data Analysis, Reporting and Methodology)
Ontario Health
Toronto, ON
- Full-time
Experience analyzing large data sets using tools such as SAS, R, Python, and Excel
Added 24 days ago
T
Modelling / Forecasting Senior Analyst (Quants)
TD
Toronto, ON · Markham, ON
- Full-time
Hands-on experience with relevant programming languages, such as Python, SAS, R is a must
Added 24 days ago
Principal Engineer, Data Path / Metadata / Performance (StorageGRID)
NetApp, Inc.
Vancouver, BC
Strong hands-on programming skills in one or more of C/C++, Go, or Python, and experience debugging distributed software in Linux-based environments
Added 24 days ago
C
Lead AI/ML Data Scientist - VP
Citi
Mississauga, ON
- Full-time
Expert-level proficiency in Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy), R (caret, tidyverse, mlr3), and SQL (PostgreSQL, Oracle, MySQL)
Added 24 days ago
ON
Business Intelligence Analyst
Ontario Northland
North Bay, ON
- $83,538 to $98,280 CAD / year
- Full-time
Experience using R or Python for data analysis and automation is considered an asset
Added 24 days ago
C
Consultant, Databricks Developer
CIBC
Toronto, ON
- Full-time
You will be joining the enterprise technology team within CIBC. As the Consultant, Data Developer you are responsible for leading the planning, technical design, development, and…
Added 24 days ago
M
Applied AI Engineer
Mantu
Montreal, QC
- Full-time
Create reusable components, templates, implementation patterns, and developer examples.
Added 24 days ago
N
Senior Application Security Engineer
Nutrien
Calgary, AB
- Full-time
Added 24 days ago
LI
Datacenter Technician
LanceSoft, Inc.
Cambridge, ON
- $34 to $37 CAD / hour
- Contract
Added 24 days ago
GR
Scada Engineer
Grand River Conservation Authority
Cambridge, ON
- $84,866 to $103,253 CAD / year
- Full-time
…skills with Emerson Control Wave Designer and ACCOL programming, Python and Java scripting are an asset. Microsoft SQL experience with TSQL, SSIS, SQL Views, SQL job management and SQL…
Added 24 days ago
A
Operational Due Diligence Analyst
Albourne
Toronto, ON
- $80,000 to $115,000 CAD / year
- Full-time
Exposure to data analytics, data mining, or data science methodologies is considered an asset, as is experience using tools such as VBA, Python, and Power BI
Added 24 days ago
M
Analyste de Support à la Production / Production Support Analyst
mthree
Montreal, QC
- $75,000 to $90,000 CAD / year
- Full-time
Compétences en scripting : Perl, Python ou shell Unix
Added 24 days ago
AS
Full Stack Software Developer
Axelon Services Corporation
Montreal, QC
- $65.52 CAD / hour
- Other
Experience with Unix OS, scripting, and Python.
Added 24 days ago
B
Analyst, Investment & Corporate Banking Client Analytics
BMO
Toronto, ON · FCP
- Full-time
Programming skills an asset, but not required (Python, JavaScript, VBA)
Added 24 days ago
B
Analyst, Global Markets Client Analytics
BMO
Toronto, ON · FCP
- Full-time
Programming skills an asset, but not required (Python, JavaScript, VBA)
Added 24 days ago
RM
Computer Systems Technician - GIS
RESORT MUNICIPALITY OF WHISTLER
Whistler, BC
- Up to $39.4 CAD / hour
- Full-time
…applications, automation and integration using tools such as FME and Python is desirable, along with awareness of GIS and data technology trends and best…

Bell

Conversational AI Developer

Toronto, ON, Canada

Hybrid

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Job details

Workplace: Hybrid
Posting language: English
Posted: Sep 8, 2026

Original job description

Req Id: 432449

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

Bell is seeking a Conversational AI Developer to join an innovative, customer-focused team. You’ll build and improve virtual assistants that help Bell customers get answers and get things done, using Google’s CX Agent Studio and Dialogflow CX. This is a hands-on role for a curious, resourceful problem solver who wants to grow their skills in conversational AI, LLM-powered experiences, and AI agents. Working within an Agile framework, you’ll collaborate with senior developers, architects, conversational designers, and product owners to deliver solutions that evolve with our customers’ needs.

Key Responsibilities

Build, configure, and maintain conversational AI assistants using CX Agent Studio, and learn and contribute to Dialogflow CX flows, intents, pages, and webhooks.
Implement conversation flows and dialogue logic based on designs from conversational designers and architects.
Develop integrations with backend services and APIs using JSON and other data interchange formats.
Write, test, and refine prompts and agent instructions, and help manage the context (conversation history, retrieved knowledge, and tool outputs) that agents use to respond accurately.
Implement and troubleshoot tool calling, connecting agents to APIs, data sources, and backend systems so they can complete tasks for customers.
Support the implementation of LLM-based and agentic features, including knowledge retrieval and multi-step agent behaviours, under the guidance of senior team members.
Explore and prototype with emerging agent frameworks and protocols (e.g., ADK, MCP, A2A) as the team evaluates them.
Test and troubleshoot assistants, including end-to-end conversational flow testing, to identify and resolve defects and improve accuracy.
Review performance data and customer interactions to find opportunities for continuous improvement, and help tune intents, prompts, and fallback handling.
Contribute to multi-channel deployments (web, mobile, messaging, IVR) while following enterprise security, privacy, and governance standards.
Document your work, participate in Agile ceremonies (stand-ups, sprint planning, retros, PI Planning), and track tasks in JIRA.
Stay current on evolving conversational AI and LLM trends and share what you learn with the team.

Critical Qualifications

Strong problem-solving skills and a logical, analytical approach to debugging and improving systems.
Foundational understanding of Natural Language Understanding (NLU) and Large Language Models.
Working knowledge of prompt engineering: writing clear instructions, using examples, and iterating on prompts based on results.
Basic understanding of context engineering: how conversation history, retrieved information, and tool results shape LLM behaviour and quality.
Basic understanding of tool/function calling and how LLM agents interact with external APIs and systems.
Experience with, or strong interest in learning, conversational AI platforms such as CX Agent Studio and Dialogflow CX (through work, academic projects, internships, or personal projects).
Working knowledge of JSON and REST APIs.
Programming experience in at least one language (e.g., Python, JavaScript/Node.js).
Basic familiarity with cloud platforms (GCP preferred, Azure or AWS also relevant).
Good written and verbal communication skills, with the ability to explain technical work clearly to teammates and stakeholders.
Willingness to learn quickly, accept feedback, and work in a collaborative Agile team.
Passion for AI-powered language models, chatbots, voice bots, and AI agents.

Preferred Qualifications

Bachelor’s degree (or college diploma) in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
0-2 years of experience in software development, chatbot development, or a related area (co-op, internship, and project experience welcome).
Basic understanding of or exposure to agentic AI concepts and frameworks, such as Google’s Agent Development Kit (ADK).
Awareness of emerging agent standards, including Model Context Protocol (MCP) for connecting agents to tools and data, and Agent2Agent (A2A) for agent-to-agent communication.
Exposure to RAG and knowledge retrieval approaches.
Familiarity with testing and quality assurance practices, including evaluating LLM and agent outputs.
Familiarity with JIRA and Agile/SAFe ways of working.
Interest in or exposure to voice AI and speech recognition.
Awareness of web accessibility principles.
Bilingual (French/English) would be an asset.
Experience in a telecommunications environment would be a bonus.

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Don Mills || Canada : Ontario : Toronto
Work Arrangement: Hybrid
Application Deadline: 10/22/2026

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

You will build, configure, and maintain conversational AI assistants using CX Agent Studio and Dialogflow CX while collaborating with cross-functional teams. Additionally, you will implement dialogue logic, develop backend integrations, and refine agent instructions to improve accuracy and performance.

Requirements

The role requires foundational knowledge of NLU, LLMs, and prompt engineering, along with programming experience in Python or JavaScript. Candidates should have a degree in a related field or equivalent practical experience, with a strong interest in AI-powered language models.

Skills

Conversational AI
Dialogflow CX
CX Agent Studio
Python
JavaScript
Node.js
JSON
REST APIs
Prompt engineering
NLU
Large Language Models
Agile
JIRA
Cloud platforms
RAG
Agentic AI

Benefits

Medical benefits
Dental benefits
Vision benefits
Mental health benefits
35% discount on services
Exclusive partner offers

Visa sponsorship

Not detected in the job text

Keywords

Conversational AI
Dialogflow CX
CX Agent Studio
LLM
NLU
Prompt Engineering
Python
JavaScript
Node.js
JSON
REST APIs
Agile
JIRA
GCP
Azure
AWS
RAG
Agentic AI
ADK
MCP
A2A
IVR
Software Engineering
Data Science
Artificial Intelligence
Telecommunications
Cloud Computing
API Integration
Context Engineering
Quality Assurance

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