Top AI Jobs in Montreal

Participate in daily Scrum, review Jira tickets, debug and resolve issues, use Git for parallel development, collaborate on design and documentation, assist testing and performance troubleshooting. Basic English required; AI knowledge is a plus.

As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.

Design enterprise application solutions in complex, hybrid environments. Analyze requirements, assess impacts, and produce scalable, secure solution designs. Collaborate with architects, delivery teams, and stakeholders; incorporate performance, maintainability, DevSecOps, and operational concerns. Mentor teams, standardize practices, and support modernization and AI-enabled initiatives.

Design, implement, optimize, and maintain performance-critical systems in Unreal Engine across Engine, Rendering, AI, or UI. Translate requirements into scalable C++ code, debug complex runtime issues, profile and optimize performance, integrate with artists/designers, mentor junior engineers, and contribute to technical architecture and engine customizations for production-ready game systems.

Ingénieur Système pour produits radar secondaires IFF : définir caractéristiques fonctionnelles, réaliser modélisation et simulations, développer traitements algorithmiques, proposer évolutions, intégrer progressivement l'IA, contribuer à l'architecture système, analyser données radar, valider algorithmes, résoudre problèmes d'intégration et supporter présentations clients et démonstrations.

The engineer will develop water management plans for mining projects, conduct hydrological studies, design hydraulic structures, and collaborate in multidisciplinary teams.

Design and implement robust bimanual manipulation algorithms and train learning-based robot policies (diffusion, imitation, RL). Build end-to-end autonomy connecting perception, semantic task understanding, and low-level control. Ship production-quality Python and C++ code, profile and scale the autonomy stack, and work with high-fidelity simulators for sim-to-real transfer.

Develop and maintain application modules using AI coding assistants across a C#/.NET/Windows Forms and Oracle stack. Troubleshoot multi-system integrations, modernize legacy components, optimize queries and performance, extend CI/CD pipelines, perform AI-aware code reviews, and own deliverables from requirements to production while following Canadian privacy standards.

Full‑stack developer role using AI coding assistants to modernize and maintain a web-based Student Information System. Work across ColdFusion, .NET, Oracle, and React; improve performance, refactor legacy code, build CI/CD and automated tests, ensure compliance with privacy standards, and own features from requirements to production.

Full-stack developer using AI tools daily to build and modernize healthcare application modules across Java, C#/.NET, and Oracle (PL/SQL). Improve performance, refactor legacy code, extend CI/CD pipelines, write and review tests, and ensure compliance with privacy and regulated-environment requirements.

Lead full-stack development of a high-traffic SaaS platform, focusing on complex Vue 3 frontends and Go backends, driving architecture, performance, AI-first workflows, mentoring, and improving CI/CD and engineering standards.

Maintain and operate hosting for ~50 websites (server, CMS updates, security, performance). Handle recurring client updates and bug fixes on bilingual WordPress/Webflow sites, integrate APIs, develop custom features, and build internal tools and AI agents using agentic tools and AI APIs. Communicate with clients in French and English and perform technical SEO and performance recommendations.

Ownership of backend features for Agentic Tools: design and implement GraphQL/REST APIs, build secure scalable Ruby on Rails services, improve RSpec automated tests, collaborate across product and AI teams, participate in Tier 2 on-call, and shape architecture for AI agent interactions with GitLab.

Design, implement, and maintain gameplay systems in Unreal Engine, collaborating with teams to optimize performance and document code.

Design, implement, and maintain real-time gameplay AI systems in Unreal Engine for a multiplayer, server-authoritative game. Own AI behavior architecture, implementation, debugging, tuning, and optimization with focus on performance, scalability, and stability. Collaborate with gameplay, animation, tech design, and networking teams. Act as a hands-on senior contributor: write production code, mentor teammates, and push pragmatic solutions to deliver critical AI features.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

Own and evolve Directive's web surfaces for Stratos and company sites: build campaign and reporting UIs, integrate ad/CRM APIs, manage background jobs, containers, CI/CD, databases, telemetry, auth, and LLM integrations; stabilize inherited code and ship production features iteratively.

Lead architecture and performance exploration for next-generation AI inference accelerators. Build analytical models and simulation frameworks, define subsystem interfaces and roadmaps, and drive hardware/software co-design with compiler, runtime, ML, and silicon teams to optimize latency, throughput, memory, interconnects, power, and cost for evolving LLMs and transformer-based workloads.

The Senior Software Architect will define the AI-driven architecture for software development, leading teams in cloud-native modernization and integrating AI into development practices across multiple products.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Design and implement AI-powered UI tooling and frameworks, own and evolve the UI tech codebase in Unreal Engine, mentor engineers, collaborate cross-discipline, and profile/resolve UI performance and memory issues to support creators and licensees.

Build and maintain consumer-facing front-end experiences (primary) and backend services (secondary) for post-purchase products. Implement UI components from Figma, own frontend architecture, mentor engineers, and integrate AI-first workflows. Contribute to Go/Node.js services, deploy on cloud (GCP/AWS/Azure), work with datastores (Postgres, Spanner, BigQuery, Bigtable), and implement REST/GraphQL APIs.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.