24 hours ago
Montréal, CanadaMid Level
Responsibilities
- Design and develop scalable applications, APIs, microservices, database solutions, and responsive web interfaces.
- Build conversational and agent-driven experiences with frontend state management.
- Develop business intelligence solutions such as scorecards, dashboards, and web tools.
- Implement data-quality, documentation, security, performance, and data-access practices.
- Design, build, deploy, scale, and monitor AI agents and agentic workflows on Google Cloud.
- Develop reusable plugins, skills, and MCP servers that securely expose enterprise data, APIs, and internal tools.
- Integrate Anthropic Claude, OpenAI, Azure OpenAI, and Google Vertex AI through prompt engineering, structured outputs, function calling, and RAG.
- Configure and govern Claude Code and GitHub Copilot coding harnesses and coach the team on agentic development practices.
- Evaluate AI features for quality, cost, latency, guardrails, and responsible-AI compliance.
- Participate in the software development lifecycle, code reviews, training, and collaboration with design and product teams.
- Support Power BI deployment requests.
Requirements
- 2–3 years of experience in a related field.
- University or college degree in computer sciences.
- Proficiency with TypeScript and C# and experience with .NET development using ASP.NET Core.
- Experience with React, Next.js, modern JavaScript, SQL, NoSQL databases, and Git.
- Experience designing RESTful APIs and understanding web fundamentals, authentication, and database design.
- Hands-on experience with AI coding agents such as Claude Code, GitHub Copilot, Cursor, or similar tools, including customization.
- Hands-on experience building with LLM APIs, prompt engineering, and tool or function calling.
- Experience building agents, plugins, skills, or MCP servers; Google Cloud, ADK, and Google Agent Runtime experience is ideal.
- French and English working ability for normal business communication.
- Preferred: Python, RAG architectures, embeddings, vector search, Google ADK, Claude Agent SDK, Semantic Kernel, LangGraph, Google Cloud, Google Agent Runtime, Azure DevOps, GitHub Actions, Jenkins, CI/CD, and web performance optimization.
- Strong problem-solving skills, attention to detail, curiosity, independent learning ability, and enthusiasm for complex technical challenges.
Benefits
- Regular full-time employment.
- Hybrid work arrangement in Montreal, Quebec, with at least three days per week in a Bell office; candidates must be based in Canada.
- Flexible work hours based on business needs.
- Medical, dental, vision, and mental health benefits available upon joining.
- 35% discount on Bell services and access to partner offers.
- Inclusive and accessible workplace with hiring-process accommodation support.