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Technical Lead, Full-Stack & AI Platforms

Job in Vancouver, BC, Canada
Listing for: Aequilibrium Software Inc.
Full Time position
Listed on 2026-09-15
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Position: Technical Lead, Full-Stack & AI Platforms only)

About Aequilibrium Aequilibrium (AEQ) is a digital innovation partner that helps organizations create remarkable customer and employee experiences through AI, XR (VR/AR), digital transformation, and custom software development.

Our XR & AI practice is building immersive training and onboarding platforms that combine Virtual Reality, Artificial Intelligence, and enterprise-grade software architecture to help organizations improve learning outcomes, engagement, and operational performance.

We are looking for a Technical Lead who can help us scale our XR platform and lead the technical direction of our next generation of AI-powered immersive training products.

This position is open only to Canadian citizens or permanent residents .

Role Overview This role combines technical leadership, solution architecture, AI expertise, and hands-on development.

You will work closely with our Product Owner, Program Manager, Product Designer, and Unity Lead to transform product vision into scalable, maintainable, and high-quality software solutions.

This is not a people management role.

We are looking for a technical leader who can align the team around a shared architecture, establish engineering standards, break down complex initiatives into executable plans, and actively contribute to development.

Expected allocation: 30% Technical Leadership & Architecture 70% Hands-on Development Key Responsibilities Technical Leadership Own the technical architecture of the XR Training Academy platform Define and maintain architecture standards across frontend, backend, AI, cloud, and Unity integrations Create technical roadmaps aligned with product goals Lead technical planning and solution design sessions Review technical approaches and ensure alignment with business requirements Prevent over-engineering and unnecessary technical complexity Solution Architecture Design scalable cloud-native architectures Define APIs, integration patterns, and service boundaries Ensure performance, security, maintainability, and scalability considerations are built into solutions Guide AI architecture and integration decisions Evaluate and recommend technology choices Product Delivery Translate product requirements into technical implementation plans Break epics and features into technical workstreams Define acceptance criteria and technical success metrics Identify technical risks and mitigation strategies Support estimation and sprint planning activities AI Leadership Guide the implementation of AI-powered experiences Evaluate and integrate LLMs, AI services, and agent-based workflows Establish best practices for AI architecture, prompting, evaluation, and governance Coach team members on the effective use of AI-assisted development Hands-On Development Contribute production-quality code Build backend services, APIs, integrations, and cloud infrastructure Support frontend and platform development as required Review pull requests and mentor developers Troubleshoot technical issues and support delivery teams Team Collaboration Partner closely with:
Product Owner Program Manager Product Designer Unity Lead Foster strong communication and accountability Help create a high-performing engineering culture Participate actively in retrospectives and continuous improvement initiatives Required Qualifications Technical 8+ years of software development experience 3+ years in a Technical Lead, Lead Developer, or Solution Architect role Strong full-stack development experience Experience designing and building cloud-native applications Experience with:
TypeScript / JavaScript Python/FastAPI React or modern frontend frameworks REST APIs and integrations Cloud platforms (Azure preferred) CI/CD pipelines AI Experience building applications that leverage Large Language Models (LLMs) Familiarity with:
OpenAI Azure OpenAI Agentic workflows RAG architectures Prompt engineering AI evaluation and governance Skills and MCP (Model Context Protocol) Architecture & Leadership Strong systems-thinking and architecture skills Ability to balance speed, quality, and scalability Experience leading technical design discussions Strong communication and stakeholder management skills Ability to challenge assumptions and drive alignment constructively Multi-tenant SaaS architecture and compliance-aware/data-residency design Nice-to-Have Qualifications XR, VR, AR, or Unity experience Experience building training, education, or simulation platforms Experience with multi-modal AI systems Experience in…

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