Full Stack Developer - Applied AI

Bell; Montreal; Hybrid; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Mental health support

Employee discount

Job summary

Bell in Montreal is seeking a Full Stack Developer – Applied AI to build AI‑powered features across backend .NET/C# and frontend React/Next.js with TypeScript. You will design scalable APIs, dashboards, and agent‑based workflows, leveraging LLMs and AI coding tools to accelerate development.

The ideal candidate has 2–3 years of experience, strong TypeScript and C#, and hands‑on experience with RESTful APIs, databases, and Google Cloud ADK.

Qualifications

• 2-3 years of experience in a related field.
• University or College degree in computer sciences.
• Proficiency with TypeScript and C#.
• Experience with .NET development (ASP.NET Core).
• Experience with React, Next.js and modern JavaScript.
• Experience designing and developing RESTful APIs, including proper endpoint structure, HTTP methods, and authentication protocols.
• Solid understanding of web fundamentals (HTTP, REST, HTML, CSS, etc).
• Experience with SQL and NoSQL databases.
• Git version control and collaborative development workflows.
• Familiarity with agile development methodologies.
• Hands‑on experience working with AI coding agents such as Claude Code, GitHub Copilot, Cursor, or similar tools, including customization.
• Hands‑on experience building with LLM APIs (Claude, OpenAI or similar).
• Experience building agents, plugins, MCP servers on Google Cloud with ADK.
• Strong problem‑solving skills and attention to detail.
• French and English working ability.

Responsibilities

• Design and develop scalable applications, APIs, and microservices while working with databases.
• Build responsive and interactive user interfaces with state management and agent‑driven experiences.
• Implement data access solutions, design database schemas, and write optimized queries.
• Develop BI solutions including scorecards, dashboards, and web tools for service and customer experience.
• Implement solutions to guarantee data quality and follow documentation standards.
• Write clean, secure, efficient code with proper documentation.
• Design, build and deploy AI agents and agentic workflows that automate analysis and reporting.
• Develop multi‑agent systems on Google Cloud using ADK and monitor them on Google Agent Runtime.
• Develop reusable plugins, skills and MCP servers exposing data and tools to AI agents.
• Integrate LLM APIs into applications with prompt engineering and tool calling.

Skills

TypeScript

C#

.NET

React

Next.js

API design

SQL

NoSQL

Git

Agile

AI coding agents

LLMs

Google Cloud ADK

Education

University or College degree in computer sciences

Tools

Claude Code

GitHub Copilot

Cursor

Google ADK

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

We are looking for a Full Stack Developer – Applied AI to join our innovative team. This position offers a balanced workload between backend development using .NET / C# and frontend development with React / Next.js / TypeScript, with a strong applied AI component: you will build AI‑powered features, agents, plugins, skills and MCP servers on top of our data, and use agentic coding tools such as Claude Code and GitHub Copilot to design, build and ship software faster. The ideal candidate has practical knowledge of backend and frontend technologies, hands‑on experience building with LLMs, and a willingness to learn while contributing to our mission of delivering high‑quality, trustworthy web applications.

Key Responsibilities

• Design and develop scalable applications, APIs, and microservices while working with databases.
• Build responsive and interactive user interfaces while implementing state management solutions, including conversational and agent‑driven experiences.
• Implement data access solutions, design database schemas, and write optimized queries.
• Develop business intelligence solutions including scorecards, dashboards, and web tools for service, productivity, fleet and customer experience.
• Implement solutions to guarantee data quality (availability and reliability) and follow defined documentation standards.
• Write clean, secure, efficient code with proper documentation while ensuring security and performance best practices.
• Design, build and deploy AI agents and agentic workflows (tool use, multi‑step orchestration, human‑in‑the‑loop) that automate analysis, reporting and operational tasks.
• Develop multi‑agent systems on Google Cloud using the Agent Development Kit (ADK), and deploy, scale and monitor them on Google Agent Runtime with proper session, memory, identity and access management.
• Develop reusable plugins, skills and MCP (Model Context Protocol) servers that securely expose our data, APIs and internal tools to AI agents.
• Integrate LLM APIs (Anthropic Claude, OpenAI / Azure OpenAI, Google Vertex AI) into applications, including prompt engineering, structured outputs, function calling and retrieval‑augmented generation (RAG) over enterprise data.
• Configure and govern AI coding harnesses such as Claude Code and GitHub Copilot (instruction files, custom commands, subagents, hooks, MCP integrations) and coach the team on effective agentic development practices.
• Evaluate and monitor AI features (test sets, quality, cost and latency tracking) and apply guardrails and responsible‑AI practices.
• Participate in all phases of the software development lifecycle while collaborating with design and product teams.
• Continuously expand technical knowledge through training while performing code reviews.
• Support the Power BI team with deployment requests.

Critical Qualifications

• 2-3 years of experience in a related field.
• University or College degree in computer sciences
• Proficiency with TypeScript and C#.
• Experience with .NET development (ASP.NET Core).
• Experience with React, Next.js and modern JavaScript.
• Experience designing and developing RESTful APIs, including proper endpoint structure, HTTP methods, and authentication protocols
• Solid understanding of web fundamentals (HTTP, REST, HTML, CSS, etc).
• Experience with SQL and NoSQL databases.
• Git version control and collaborative development workflows.
• Familiarity with agile development methodologies.
• Hands‑on experience working with AI coding agents such as Claude Code, GitHub Copilot, Cursor, or similar tools is required, including customization (instruction files, commands, subagents, MCP).
• Hands‑on experience building with LLM APIs (Claude, OpenAI or similar), including prompt engineering and tool/function calling.
• Experience building agents, plugins, skills or MCP servers (professional, personal or open‑source projects), ideally on Google Cloud with ADK (Agent Development Kit) and Google Agent Runtime.
• Strong problem‑solving skills and attention to detail.
• Seeking a passionate developer with an insatiable curiosity, demonstrated ability to independently master new technologies, and enthusiasm for tackling complex challenges that push the boundaries of their skillset.
• French and English, working ability to carry out normal business in the language communication.

Preferred Qualifications

• Experience with Python.
• Experience with RAG architectures, embeddings and vector search.
• Experience with agent frameworks and SDKs (Google ADK, Claude Agent SDK, Semantic Kernel, LangGraph or similar).
• Experience with Google Cloud Platform (GCP) and deploying agents on Google Agent Runtime.
• Experience with DevOps pipelines (Azure DevOps, GitHub Actions, Jenkins).
• CI/CD implementation experience.
• Performance optimization techniques for web applications.
• Standard work schedule

Additional Information

Position Type: Management Job Status: Regular - Full Time Job Location: Canada : Quebec : Montreal

Work Arrangement: Hybrid

Adequate knowledge of French is required for positions in Quebec.

Application Deadline: 10/28/2026

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.

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 [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.

Created: Canada, QC, Montreal

Bell, one of Canada's Top 100 Employers.