Sr. Principal Engineer – AI-Driven Product Development
| Company | RBI |
|---|---|
| Location | Toronto, ON, Canada, Miami, FL, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 4+ years of experience building and leading front-end development with React, with a focus on implementing dynamic user interfaces that incorporate real-time data
- 4+ years of experience building and architecting Node.js APIs, ideally with exposure to integrating AI/ML models into APIs for enhanced functionality.
- 2+ years of experience building AWS services, in order of priority: AWS Lambda, AWS API Gateway, AWS DynamoDB, and AWS RDS, with an emphasis on deploying AI/ML models in AWS environments (SageMaker, Lambda for AI inference).
- Proven ability to independently deliver and oversee the delivery of high-quality features and systems under strict deadlines.
- Deep experience designing system architectures that incorporate data pipelines, frontend frameworks, and backend systems
- Hands-on experience with generative AI, including LLMs, SLMs, fine-tuning, RAG, embeddings, vectorization, and prompting, to drive intelligent, conversational interfaces and customer interactions.
- Classical machine learning experience with deep learning, neural networks, optimization algorithms, and their applications in areas such as demand forecasting, personalized recommendations, or dynamic pricing.
- Expertise in AI-enhanced data visualization tools, preferably in React, using libraries like Recharts, D3, and Victory, to create intuitive, data-driven insights for end-users.
Responsibilities
- Serve as a technical leader and strategic advisor, meeting with new and existing R&D group product stakeholders to gather comprehensive frontend and backend requirements. Provide insights on how AI and ML can enhance both product and business processes.
- Translate high-level business needs into measurable and scalable technical deliverables, ensuring alignment with company-wide goals and priorities. Use ML models and AI tools to predict, optimize, and personalize digital customer journeys and restaurant operations.
- Architect and oversee the implementation of complex frontend and backend solutions
- Collaborate with R&D peers on both new product development and maintenance of existing systems.
- Draft and review detailed design documents for critical features, ensuring best practices
- Contribute to companywide DevEx and be thoughtful about how engineers in any part of the company can work better together.
Preferred Qualifications
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No preferred qualifications provided.