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Full Stack Engineer (AI Focus) 20 - Optix

Optix

Vancouver, Columbia Británica, Canadá 2026-02-09

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You'll work alongside experienced AI leadership who will help you become expert-level in AI development while you leverage your strong full-stack fundamentals to ship meaningful features. Requirements 5+ years of full-stack software engineering experience with modern frameworks Strong proficiency with backend development; we use PHP/Laravel and MySQL (experience with these is highly valued) Solid experience building and scaling backend systems with REST/GraphQL APIs Strong understanding of data…

Job description

You'll work alongside experienced AI leadership who will help you become expert-level in AI development while you leverage your strong full-stack fundamentals to ship meaningful features. Requirements 5+ years of full-stack software engineering experience with modern frameworks Strong proficiency with backend development; we use PHP/Laravel and MySQL (experience with these is highly valued) Solid experience building and scaling backend systems with REST/GraphQL APIs Strong understanding of databases and data flow patterns; data engineering experience is a plus You have experience with AI APIs and built something that taught you how they work in practice Demonstrated ability to learn new technologies quickly and apply them thoughtfully You understand that AI features require different thinking about quality, testing, and user experience than traditional features Strong problem-solving skills and systems thinking about integration patterns You're empathetic and can work both independently and collaboratively in a team environment You can clearly articulate your technical reasoning to both technical and non-technical team members Technical skills: Experience with backend tools like Git, unit testing, continuous integration, and Linux command line Comfort working with APIs and integrating third-party services Understanding of how to build maintainable, testable code in complex systems Willingness to learn AI-specific patterns: prompt engineering, context management, evaluation frameworks Bonus points for: Experience with AI frameworks like LangChain, Pydantic, or LlamaIndex Data engineering experience: ETL pipelines, data transformation, working with large datasets Deployment expertise: Containerization, cloud plat...

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