Optix

Full-Stack Engineer, AI Applications

Optix

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudETLGoogle Cloud PlatformGraphQLLinuxMySQLPHP

About the role

  • 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

  • Who you are:
  • 5+ years full-stack development with modern frameworks
  • Strong proficiency with modern web frameworks
  • Excellent back-end or systems programming knowledge, we use the latest versions of PHP 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
  • Proficiency with agentic tooling and framework like LangChain, Pydantic, LlamaIndex, etc. for LLM application development
  • Experience with evaluation frameworks and continuous improvement through iterative AI model refinement
  • Experience with back-end tools like Git, unit testing, continuous integration and Linux command line skills
  • You're empathetic and can work both independently as well as collaboratively in a team environment
  • You're able to clearly articulate your knowledge and reasoning to technical and non-technical team members
  • AI-Specific Technical Skills:
  • Prompt engineering and context management for business applications
  • RAG implementation
  • Model evaluation, A/B testing, and performance monitoring
  • Integration patterns for LLMs in existing application architectures
  • Bonus points for:
  • Data engineering experience: ETL pipelines, vector databases, embedding management
  • Deployment expertise: Containerization, cloud platforms (AWS/GCP), monitoring AI systems in production
  • Knowledge of micro-services and event-driven architectures
  • Experience in B2B SaaS platforms