Conversational AI Developer

BCE Inc.; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Medical, dental, vision and mental健康

35% discount on Bell services

Exclusive partner offers

Job summary

Bell is seeking a Conversational AI Developer to join an innovative, customer‑focused team. You’ll build and improve virtual assistants using CX Agent Studio and Dialogflow CX, in an Agile environment with senior developers, designers, and product owners.

In this hands‑on role you’ll define flows, integrate with backend services via JSON and REST, tune prompts, and explore emerging agent frameworks. The position offers hybrid work in Canada and a comprehensive benefits package.

Qualifications

• Foundational knowledge of NLU and LLMs.
• Experience with prompt engineering and context management.
• Familiarity with JSON and REST APIs.
• Knowledge of CX Agent Studio and Dialogflow CX is preferred.
• Willingness to learn in an Agile team.

Responsibilities

• Build, configure, and maintain conversational AI assistants using CX Agent Studio; contribute to Dialogflow CX flows.
• Implement conversation flows and dialogue logic from designers and architects.
• Develop integrations with backend services and APIs using JSON and data interchange formats.
• Write, test, and refine prompts; manage conversation context and tool outputs for accuracy.
• Implement and troubleshoot tool calling; connect agents to APIs and data sources.
• Support LLM-based features, including knowledge retrieval and multi-step agent behaviors.
• Prototype emerging agent frameworks (ADK, MCP, A2A) for team evaluation.
• Test end-to-end conversations; review performance data for improvements.
• Contribute to multi-channel deployments (web, mobile, IVR); follow security and governance standards.
• Document work; participate in Agile ceremonies; track tasks in JIRA; stay current with trends.

Skills

Problem solving

NLU basics

LLMs basics

Prompt engineering

Context engineering

Tool calling

JSON & REST APIs

Cloud platforms (GCP/AWS/Azure)

Communication

Adaptability

AI passion

CX Agent Studio

Dialogflow CX

Education

Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related field

Tools

CX Agent Studio

Dialogflow CX

JSON

REST APIs

GCP

Azure

AWS

Job description

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.
• 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:

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.

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.

• competitive salary
• a wide range of benefits

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.

• medical, dental, vision and mental health benefits

Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

• 35% discount on our services
• 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 [e-mail] 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.