At a Glance
- Tasks: Lead cutting-edge Generative AI architecture and mentor engineers in Toronto.
- Company: Innovative tech firm focused on AI and cloud-native solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on established software platforms.
- Why this job: Shape the future of AI while working with advanced technologies and talented teams.
- Qualifications: 7+ years in software engineering and 5+ years in AI/ML production systems.
The predicted salary is between 123750 - 151250 $ per year.
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
- Strong 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 employer: GuruLink
Join a forward-thinking company in downtown Vancouver that prioritizes innovation and employee well-being. With a hybrid work model, you’ll enjoy the flexibility of working three days a week in the office while collaborating with a talented team dedicated to building secure, scalable infrastructure. The company fosters a culture of continuous learning and growth, offering ample opportunities for professional development in an AI-first environment where your contributions directly impact the success of the organization.
