Full Stack Engineer, AI Lead

Optix

full-time

Posted on: 9/24/2025

Origin: • 🇨🇦 Canada

✨ AI Apply

Senior

AWSCloudETLGoogle Cloud PlatformGraphQLLaravelLinuxMySQLPHP

About the role

Serve alongside Optix leadership to establish best practices and development standards
Guide the engineering team's transition to AI-first development workflows and tooling
Collaborate with product leadership to translate business objectives into technical AI solutions
Design and build AI-powered features such as intelligent sales widgets, automated message generation, and predictive workflow optimization
Architect scalable AI systems that integrate with existing automations platform
Implement evaluation frameworks to continuously improve AI feature performance
Identify opportunities to leverage AI across the platform for maximum customer impact
Build the technical foundation for conversational, agentic workspace management
Drive adoption of AI development tools and practices across the engineering team

5+ years full-stack development with modern frameworks, at least 3 years working with SaaS platforms
Demonstrable experience integrating AI into development workflows (code generation, QA, CI/CD, automated code reviews, intelligent testing)
Experience transitioning an existing team and large codebase to an AI-first development process
Excellent back-end or systems programming knowledge; experience with PHP/Laravel and MySQL
Experience building and scaling backend systems with REST/GraphQL APIs
Solid understanding of databases; data engineering experience a plus
2+ years hands-on experience with AI APIs and production AI deployments
Integration patterns for LLMs in existing application architectures
Experience with back-end tools like Git, unit testing, continuous integration and Linux command line skills
Able to clearly articulate the benefits of introducing AI into an existing development process in a secure and maintainable way
Empathetic and able to work independently and collaboratively
Bonus: Data engineering experience (ETL pipelines, vector databases, embedding management)
Bonus: Deployment expertise (Containerization, cloud platforms AWS/GCP, monitoring AI systems in production)
Bonus: Prior experience leading projects or mentoring engineers
Bonus: Knowledge of micro-services and event-driven architectures