Lead Software Engineer – AI, Data Visualization & Platform

Company Overview

Role Overview

Technical Leadership and AI

• Mentor developers and foster technical excellence, curiosity, and continuous learning.
• Drive practical adoption of AI-assisted development tools and workflows.
• Establish AI-use practices that maintain code quality, testing, security, and code-review standards.
• Collaborate on architecture, system design, technical direction, product ideas, feasibility, risks, and delivery.
• Evaluate emerging technologies and prototype approaches that create product or engineering advantages.
• Participate in occasional onsite deployments and international travel when required.

Hands-On Engineering

• Write and maintain production-quality code for critical components across the full stack.
• Evolve and modernize the Angular and C#/.NET Core platform.
• Contribute to scalable architectures, distributed systems, APIs, data flows, and third-party integrations.
• Introduce cloud-native applications, containerization, event-driven systems, and modern deployment practices.
• Develop and integrate AI-powered features into production software.
• Contribute to AI applications involving LLMs, agents, RAG, embeddings, intelligent search, and workflow orchestration.
• Develop advanced, interactive, real-time data visualizations for complex datasets.
• Optimize real-time data systems, integrations, performance, reliability, and deployment processes.

Essential Qualifications

• At least 10 years of professional software development experience.
• Experience in a senior technical role such as Lead, Staff, Principal, Technical Lead, or equivalent.
• Strong hands-on experience with software development and system design.
• Experience designing scalable applications, APIs, distributed systems, or complex data flows.
• Professional experience with C#/.NET and Angular/TypeScript, or closely related technologies.
• Experience with cloud-based, distributed, or real-time applications.
• Practical experience applying AI or generative AI to software development, engineering workflows, or products.
• Strong problem-solving, communication, and collaboration skills.
• Ability to work effectively in a fast-paced environment with demanding deadlines.
• A hands-on mindset; this is not a management-only position.

Nice-to-Have Qualifications

• Experience with AI-assisted coding, software modernization, or developer enablement.
• Experience with LLM applications, agents, tool calling, RAG, embeddings, vector search, or workflow orchestration.
• Experience with production AI concerns such as reliability, latency, cost, security, privacy, observability, and evaluation.
• Experience with advanced data visualization, geospatial visualization, mapping, dashboards, or data-intensive applications.
• Experience with Kafka, WebSockets, messaging, event-driven architectures, SQL, NoSQL, Docker, Git, CI/CD, Kubernetes, Azure, AWS, GCP, Python, or FastAPI.
• Experience in live broadcast, media, financial, sports, or other high-stakes data environments.
• French language skills.

Workplace and Benefits

• The Montreal Old Port office is described as hybrid.
• Benefits include group insurance, RRSP matching, a wellness allowance, and team activities and events.