Full Stack Developer - Applied AI
Builds full stack web applications and AI-powered features at Bell in Montreal (hybrid): .NET/C# backends, React/Next.js/TypeScript frontends, plus LLM agents, plugins, and MCP servers on Google Cloud, using agentic coding tools like Claude Code and GitHub Copilot.
- Compensation
- Not disclosed
- Location
- Montréal, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 2+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 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 (endpoints, HTTP methods, authentication)
- Solid understanding of web fundamentals (HTTP, REST, HTML, CSS)
- Experience with SQL and NoSQL databases
- Git version control and collaborative development workflows
- Familiarity with agile development methodologies
- Hands-on experience with AI coding agents (Claude Code, GitHub Copilot, Cursor, etc.) 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, ideally on Google Cloud with ADK and Google Agent Runtime
- Strong problem-solving skills and attention to detail
- Ability to independently master new technologies and tackle complex challenges
- French and English working proficiency (Quebec position)
- Based in Canada and able to report to a Bell office minimum 3 days a week (hybrid)
Nice to have
- 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 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
Full 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.