Staff Engineer leading AWS integrations, microservices, and AI automation for EverCommerce’s SaaS service - commerce platform. Designing scalable solutions and guiding engineers across U.S. and Canadian teams.
About the role
- Technical Lead guiding engineering team through AI-first product transformation in a profitable SaaS company. Shaping sustainable, scalable development culture in a hybrid work setup.
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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