Optix
SaaS
SeniorFullStackEngineer
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“Senior Full Stack Engineer at Optix. Skills: Full-stack development, AI features, Agentic work, API design. Deliver full-stack features. Build AI-powered features”
What You'll Achieve.
Ship features that bring AI capabilities to life; Deliver features end to end; Grow into broader technical-design decisions; Build AI features that deliver meaningful value; Bring AI capabilities into intuitive UI; Keep AI feature quality high
Industry & Context.
Problem-solving; Systems thinking; Troubleshooting
What They're Looking For.
Must Have
6+ years full-stack engineering experience, Backend fundamentals, Experience building and scaling APIs, Solid grasp of databases, Solid grasp of data-flow patterns, Built something with LLM APIs, Comfortable in Python, Familiar with LangChain ecosystem, Understand AI feature quality/testing/UX, Use AI tools fluently, Problem-solving, Systems thinking, Comfort with Git, Comfort with unit testing, Comfort with CI, Comfort with Linux command line, Habit of writing maintainable code, Habit of writing testable code
Nice to Have
PHP / Laravel, MySQL, GraphQL, Vue.js, Experience with established codebase, Experience with hub-like systems, Hands-on experience with agentic/LLM patterns, Experience evaluating AI quality, Experience monitoring AI quality, AWS (Bedrock, ECS), Containerization, CI/CD, Data engineering exposure, Microservices, Event-driven architectures, Prior B2B SaaS experience
What You'll Do.
Deliver full-stack features
Build AI-powered features
Develop full-stack experiences
Use AI tools as accelerator
Use AI tools as debugger
Partner on evaluation
Partner on monitoring
Contribute to platform improvements
Contribute to architecture improvements
Work cross-functionally
Shape technical direction
Contribute to planning
Contribute to estimation
Support release-candidate readiness
Engage in investigations
Participate in sprint rituals
How You'll Work.
Team & Collaboration
Partnering with Technical Lead; Partnering with Product; Partnering with Design; Cross-functional teams; Work cross-functionally
Communication Scope
Articulate technical reasoning
Process & Methodology
Agile sprint, Planning, Estimation
Full Job Description
Optix is looking for a Senior Full Stack Engineer to help us build the next generation of AI-powered features in our platform. We are evolving from a rules-based automation platform into a leading conversational, agentic workspace management system. You'll work across our backend and frontend to ship features that bring AI capabilities to life for coworking and flex space operators, the people running the workspaces that are reshaping how the world works. Partnering closely with our Technical Lead, Product, and Design, you'll deliver features end to end, with room to take on more technical-design responsibility as you grow with us. This is a rare opportunity to deepen your AI expertise through hands-on agentic work and mentorship from experienced AI leadership, all within a profitable, proven SaaS company, while you leverage your strong full-stack fundamentals to ship meaningful features. _Note: This is a hybrid opportunity for someone based in Vancouver, BC (60% in our beautiful waterfront Gastown office, 40% from home)._ **Requirements** **Required skills and experience** * 6+ years of full-stack engineering experience, with a track record of reliably delivering features end to end * Strong backend fundamentals, including building and scaling APIs (REST and/or GraphQL) and a solid grasp of databases and data-flow patterns * You've built something real with LLM APIs and understand in practice how they behave, including their quirks and failure modes * You are comfortable in Python and familiar with the LangChain ecosystem * You understand that AI features demand different thinking about quality, testing, and UX than deterministic features * You use AI tools (e.g. Claude) fluently to accelerate and debug your own engineering * Strong problem-solving and systems thinking about integration patterns * Comfort with Git, unit testing, CI, and the Linux command line, plus a habit of writing maintainable, testable code in complex systems * You can clearly articulate techni
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