Lead production-grade Generative AI architecture in Toronto, applying Node.js, TypeScript, and cloud-native engineering to established software products.

This Staff AI Engineer will own end-to-end AI systems across an established software platform. The work emphasizes Generative AI, machine learning, document intelligence, and practical production engineering. You will guide technical direction while balancing accuracy, reliability, scalability, performance, and cost.

Key Responsibilities:

- Lead end-to-end AI system design and implementation
- Evaluate LLM APIs, AI services, and open-source models
- Establish standards for RAG, retrieval, and monitoring
- Mentor engineers across AI, data, and software platforms
- Build AI services within AWS microservices environments

Requirements:

- Seven-plus years of software engineering experience
- Five-plus years deploying AI/ML systems in production
- Advanced Node.js and TypeScript backend proficiency
- Hands-on LLM, Generative AI, and RAG experience
- Robust AWS, Docker, microservices, and deployment experience

Apply production AI leadership, Node.js expertise, and architectural judgment to shape adoption across Toronto software platforms.

📌 Staff Generative AI Engineer Toronto
🏢 GuruLink
📍 Toronto