Guide our engineering team through the shift to an AI-first product and development culture
Split your time between building AI-powered features and establishing the technical foundation for AI integration
Make architectural decisions and mentor engineers
Partner with Head of Product to translate product vision into technical reality
Collaborate with leadership team to ensure sustainable, scalable engineering culture
Shape transformation in a profitable SaaS company evolving to a conversational, agentic workspace management system
Design and build AI-powered features including sales widgets and predictive workflow optimization
Architect scalable AI systems and implement evaluation infrastructure to improve performance
Identify opportunities to leverage AI across the platform for customer impact
Requirements
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
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
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
Tech Stack
AWS
Cloud
ETL
Google Cloud Platform
Laravel
MySQL
PHP
Benefits
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