Technical Lead guiding AI integration in a SaaS company, mentoring engineers and shaping product development practices with AI.
Responsibilities
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
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
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
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
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