Technical Lead (AI Focus) at Optix

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, AI Features, SaaS, Full-Stack Engineering, PHP, Laravel, MySQL, AI APIs, Prompt Engineering, RAG Implementation, Model Evaluation, A/B Testing, Data Engineering, Containerization, Cloud Platforms, B2B SaaS

Industry

technology;Information and Internet

Description

Optix is seeking a Technical Lead to guide our engineering team through the shift to an AI-first product and development culture—serving as both a hands-on builder and technical mentor. In this role, you'll split your time between building AI-powered features yourself and establishing the technical foundation for how AI integrates across our product and team practices. You'll make architectural decisions, mentor engineers, and partner directly with our Head of Product to translate product vision into technical reality. You’ll collaborate directly with the leadership team to ensure Optix not only builds world-class AI capabilities but also does so with a sustainable, scalable engineering culture where AI-first thinking becomes second nature. This is a unique opportunity to shape transformation in a profitable SaaS company as we evolve from a rules-based automation platform into a conversational, agentic workspace management system. Note: This is a hybrid opportunity for someone based in Vancouver, BC (60% in our beautiful waterfront Gastown office, 40% from home). Who you are: 8+ years of software engineering experience, with at least 2 years building production AI features that customers actually paid for (not just prototypes) Proven experience at a SaaS company, navigating ambiguity and establishing AI best practices Strong full-stack engineering fundamentals; experience with PHP/Laravel and MySQL is a significant plus Deep hands-on expertise with AI APIs, prompt engineering, RAG implementation, and evaluation frameworks Experience mentoring engineers and driving adoption of new technical practices across a team Demonstrated ability to make architectural decisions that balance innovation with pragmatism You can clearly articulate when not to use AI and how to evaluate whether AI features are actually working AI technical expertise: Production experience integrating LLMs into existing application architectures Knowledge of AI frameworks like LangChain, Pydantic, LlamaIndex for building reliable AI features Deep understanding of prompt engineering, context management, and structured output for business applications Experience with model evaluation, A/B testing, performance monitoring, and quality assurance for AI features Knowledge of when to use RAG vs fine-tuning vs prompt engineering Bonus points for: Experience leading the cultural shift to AI-first development practices within an existing team Data engineering background: ETL pipelines, vector databases, embedding management Deployment expertise: Containerization, cloud platforms (AWS/GCP), monitoring AI systems in production Prior experience in B2B SaaS platforms serving enterprise customers What You'll Do: Technical Leadership: Partner with our Head of Product to translate business objectives into technical AI solutions and architectural decisions Establish evaluation frameworks and quality standards for AI feature development Mentor our engineering team, building their AI capability and driving adoption of AI-first development practices Guide technical decisions on model selection, integration patterns, and system architecture Hands-On Development: 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 monitoring and evaluation infrastructure to continuously improve AI feature performance Identify opportunities to leverage AI across our platform for maximum customer impact We take care of our teammates This is a unique opportunity to join a rapidly growing technology startup. Taking care of our team on this journey is a priority. We offer: Competitive salary compensation and commission structure Strong Employee Stock Option Plan offering Excellent health and dental coverage program provided by Sunlife Mission-driven workplace experience with a positive, collaborative and supportive team culture Personal and professional growth opportunities Healthy snacks and locally roasted coffee – slow pour is our jam Team lunches and socials Annual health and fitness credit Fun offsite activities that allow us to reconnect as a team A beautiful, waterfront Gastown office and a flexible 60/40 hybrid workplace plan About Optix By 2030, up to 30% of all workspaces will be flexible. As the world undergoes this monumental shift, flex space operators are leading the charge towards a new way of working - characterized by community, connection, and creating exceptional experiences. Optix is the first and only flex space automation software, enabling coworking and flex operators to thrive. We provide operators with a proven B2B SaaS platform that automates their operations, engages their community, and helps them grow their business. We're a passionate group of people who support each other to do our best work. We enjoy pour-over coffee, chocolate croissants, and jamming on our vision of changing the way the world works. Now we're embarking on our most exciting chapter yet—transforming from automation to intelligence, from reactive to predictive, from operational to conversational. We welcome applicants from all walks of life. Even if you don’t feel you meet every requirement listed, we would still love to hear why you think you would be an awesome addition to our team, and we encourage you to apply. Join us as we build the AI-powered future of flexible workspaces.

Responsibilities

Guide the engineering team in transitioning to an AI-first product culture while also being hands-on in building AI-powered features. Collaborate with the Head of Product to translate business objectives into technical solutions and mentor the engineering team.