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Ai Network Engineer Jobs in Quebec (NOW HIRING)

We are not developing novel neural network architectures or training models from scratch. What You'll Build ????️ As a Senior Software Engineer on our AI Platform, you will architect the ...

Vice President, Manufacturing & Network OperationsJob SummaryAs demand accelerates for cloud and AI ... Lead manufacturing engineering, ensuring robust, scalable, and yield-optimized processes for high ...

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI ... Understanding of networking concepts and fundamentals (e.g. SSL, UDP/TCP, firewalls, and reverse ...

Bachelor's degree or equivalent experience in cybersecurity, AI, cloud, networking, systems engineering, or related fields. * 5+ years of experience in Solutions Engineering, Channel Engineering ...

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Ai Network Engineer information

What is an AI network engineer?

AI Network Engineers are professionals who design, implement, and maintain network infrastructures optimized for artificial intelligence (AI) applications. They ensure that networks can handle the high data throughput and low latency requirements of AI workloads, such as machine learning model training and inference. Their responsibilities may include integrating AI-driven network management tools, optimizing data flow for distributed AI systems, and ensuring data security and reliability. AI Network Engineers often collaborate with data scientists, AI researchers, and IT teams to deploy scalable and efficient AI solutions. As AI adoption grows, their role becomes increasingly important in supporting advanced technologies across industries.

What are the key skills and qualifications needed to thrive as an AI network engineer?

To thrive as an AI Network Engineer, you need expertise in computer networking, AI/ML concepts, and a strong background in computer science or a related field, often supported by a relevant degree or certifications like CCNP or AWS Certified Solutions Architect. Familiarity with network simulation tools, AI frameworks (such as TensorFlow or PyTorch), and network automation platforms is typically required. Problem-solving, analytical thinking, and effective communication are essential soft skills in this role. These skills are crucial for designing, deploying, and optimizing intelligent network systems that support scalable and efficient AI-driven solutions.

What are some common challenges AI network engineers face when deploying AI models at scale within enterprise networks?

AI Network Engineers often encounter challenges related to ensuring low-latency data transfer, handling large volumes of real-time data, and maintaining high security standards during AI model deployment. Integrating AI workloads with existing network infrastructure can require careful optimization of bandwidth and compute resources to prevent bottlenecks. Additionally, collaborating with data scientists and IT teams is essential for troubleshooting and refining deployment processes while keeping the network stable and scalable.
Infographic showing various Ai Network Engineer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

AI Platform Engineer

Montreal, QC • Hybrid

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday


Job description

Introduction

At Ironbelly, we are fundamentally changing how video games are made. Our AI team, led by industry luminaries and veterans, is building GameFrame AI—a platform that allows developers to create complex, professional games using natural language. We are the creators of a battle-tested gameplay framework that has been used to build and launch AAA games, and we're leveraging that expertise to architect the future of creative software.

This isn't just another AI wrapper. You'll be engineering a production-scale AI orchestration system that coordinates specialized agents to manipulate Unreal Engine in real-time, building technology that has never existed before.

A Note on the Role: This is an Applied AI Engineering Position

To ensure we're connecting with the right candidates, let's be clear about the focus of this role:

  • We ARE looking for: A seasoned backend/platform engineer with production experience building complex systems that use AI models and frameworks (like LangChain, LLM APIs, LLM workflows).

  • This is NOT: A Machine Learning research or AI model-building role. We are not developing novel neural network architectures or training models from scratch.


What You'll Build ????️

As a Senior Software Engineer on our AI Platform, you will architect the intelligent backend that enables conversational game development.

  • Advanced Multi-Agent Orchestration: Design and build the core of GameFrame AI, implementing sophisticated multi-agent (LangGraph Swarm) and single-agent (ReAct) systems that translate user requests into concrete game development actions.

  • Gameplay Framework Integration: Engineer the crucial link between our AI systems and Unreal Engine, developing a robust translation layer that allows AI agents to programmatically configure our proprietary, component-based gameplay framework.

  • Production AI Infrastructure: Architect and scale a distributed, multi-user backend on cloud infrastructure (AWS/GCP, Kubernetes). You'll build everything from multi-provider LLM orchestration and hybrid memory systems to real-time streaming responses over WebSockets.

  • System Reliability & Observability: Implement enterprise-grade observability, monitoring, and robust failover systems required to support thousands of concurrent users with sub-second response times.


Who We're Looking For ????

We are seeking a strong software engineer who is passionate about building at the intersection of AI and game development.

Must-Have Experience:

  • Expert-Level Backend Engineering: Deep, production-level experience in Python (3.11+), building microservices with frameworks like FastAPI, and designing with async/await patterns.

  • Production Systems: Proven experience with PostgreSQL, Redis, real-time WebSocket systems, and container orchestration using Docker and Kubernetes in a cloud environment (AWS/GCP).

  • Applied AI Systems: 1+ years of hands-on experience building applications that leverage AI systems. You have practical, high-level experience with frameworks like LangChain/LangGraph and tooling like Claude Code.

  • Game Development Context: A strong understanding of Unreal Engine concepts (Actors, Components, Blueprints) and workflows, gained through at least 2 years of professional or significant personal project experience.

Nice-to-Have Experience:

  • Experience building production React applications with TypeScript and Next.js.

  • Advanced prompt engineering techniques (e.g., Chain-of-Thought).

  • Experience designing and implementing evaluation frameworks for AI agent performance.

Your Impact & Growth ????

  • First 90 Days: Architect and deploy the core agent systems for game creation, implementing multi-provider LLM orchestration and production-grade memory systems.

  • 6-12 Months: Scale the platform to support 500+ concurrent users, launch advanced agent capabilities, and build out continuous learning systems for our AI.

  • 12+ Months: Lead technical strategy as we scale to thousands of users, contribute to new industry patterns for AI-driven creative software, and help establish our position as thought leaders in the space.


Our Culture & Benefits ????

We are a passionate team based in

Montreal with a hybrid model that gets us collaborating in the office 1-2 days a week. We offer a competitive salary and a significant equity package with high growth potential.

Comprehensive Benefits: Health, dental, and vision package , plus flexible PTO.

  • Growth & Learning: A professional development budget for conferences, a hardware stipend, and dedicated research time to stay at the cutting edge.

  • Unique Perks: Opportunities for conference speaking, dedicated time for open-source contributions, and direct access to cutting-edge AI research partnerships.