Optix

Lead Full Stack Engineer, AI

Optix

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Job Level

Senior

Tech Stack

AWSCloudETLGoogle Cloud PlatformGraphQLLaravelLinuxMySQLPHP

About the role

  • Serve alongside Optix's leadership, establishing best practices and development standards
  • Guide the 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 including intelligent sales widgets, automated message generation, and predictive workflow optimization
  • Architect scalable AI systems that integrate seamlessly with our existing automations platform
  • Implement evaluation frameworks to continuously improve AI feature performance
  • Identify opportunities to leverage AI across our platform for maximum customer impact
  • Build the technical foundation for our vision of conversational, agentic workspace management
  • Drive adoption of AI development tools and practices across the engineering team

Requirements

  • 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, you have experience working 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
  • You're able to clearly articulate the benefits of introducing AI into an existing development process in a secure and maintainable way
  • You're empathetic and can work both independently as well as collaboratively in a team environment
  • 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