Full Stack Developer - Applied AI

BCE Inc.; Montreal; Hybrid; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, vision and mental健康?—

35% discount on Bell services

Job summary

Bell is seeking a Full Stack Developer – Applied AI in Montreal to build AI-powered features using .NET/C#, React, and TypeScript, with a strong focus on applied AI. You will design scalable APIs, implement AI agents, and integrate LLMs across enterprise data to deliver secure, high‑quality web applications.

The role blends backend and frontend development with hands-on experience in AI, data workflows, and cloud deployments.

Qualifications

• Proven 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).
• Performance optimization techniques for web applications.

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 that automate analysis, reporting and operational tasks.
• Develop multi‑agent systems on Google Cloud using the ADK, and deploy, scale and monitor them on Google Agent Runtime with proper IAM.
• Develop reusable plugins, skills and MCP servers that securely expose our data, APIs and internal tools to AI agents.
• Integrate LLM APIs into applications, including prompt engineering and retrieval‑augmented generation over enterprise data.
• Configure and govern AI coding harnesses and coach the team on agentic development practices.
• Evaluate and monitor AI features and apply guardrails and responsible‑AI practices.
• Participate in all phases of the software development lifecycle with design and product teams.
• Continuously expand technical knowledge through training while performing code reviews.
• Support the Power BI team with deployment requests.

Skills

Python

RAG architectures

Agent frameworks/SDKs

Google Cloud Platform

DevOps pipelines

Performance optimization

Job description

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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.

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).
• Performance optimization techniques for web applications.

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Quebec : Montreal
Work Arrangement: Hybrid
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.

• 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.

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