Technical Lead for XR and AI Platforms at Aequilibrium, developing immersive training products. Leading technical direction and architecture for next-gen AI-powered solutions.
Responsibilities
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
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
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
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
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
Foster strong communication and accountability
Requirements
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, React or modern frontend frameworks, Node.js or equivalent backend technologies, REST APIs and integrations, Cloud platforms (Azure preferred), CI/CD pipelines
Experience building applications that leverage Large Language Models (LLMs)
Familiarity with: OpenAI, Azure OpenAI, Agentic workflows, RAG architectures, Prompt engineering, AI evaluation and governance
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