Not specified
Senior AI Engineer (AI Automation)
- Location
- Canada
- Work type
- Remote · Full-time
- Salary
- Not listed
- Posted
- (2 days ago)
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer (AI Automation) based in Canada.
We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy intelligent automation solutions that transform how Product, Product Marketing, and Design teams operate. In this role, you will build AI-powered agents, applications, and automated workflows that eliminate repetitive tasks and accelerate decision-making across the product lifecycle. Working directly with non-technical stakeholders and engineering teams, you will turn complex business needs into practical, production-ready AI solutions. You will leverage cutting-edge models, retrieval systems, evaluation frameworks, and modern development tools to deliver meaningful productivity gains. As a senior individual contributor, you will have significant autonomy to define priorities, own projects end to end, and establish reusable technical components. This is an opportunity to shape AI adoption across a globally distributed organization where innovation, speed, engineering excellence, and measurable impact are highly valued.
Accountabilities
Requirements
Strong software engineering experience with Python or TypeScript, including the ability to develop, maintain, and deploy production-quality code rather than relying exclusively on low-code automation platforms. Advanced practical expertise in artificial intelligence and modern AI development, with daily experience building agentic applications using current frontier models. Hands-on experience with key AI engineering technologies and concepts, including Model Context Protocol (MCP), retrieval-augmented generation (RAG), model evaluation (evals), and observability. Demonstrated ability to design, develop, and deploy production-ready AI agents, intelligent applications, and automated workflows that solve real business problems. A portfolio or concrete examples of AI-powered solutions you have personally built, demonstrating technical depth, practical application, and measurable impact. Proven experience translating requirements from non-technical stakeholders into effective technical solutions, including the ability to identify the underlying problem rather than simply implementing the initial request. Strong judgment in evaluating when AI is the right solution, understanding its limitations, and determining when alternative approaches are more effective. Demonstrated experience building AI tools or internal applications that have been successfully adopted and consistently used by non-technical teams. Daily experience using AI-assisted software development tools such as Claude Code, Cursor, or equivalent technologies to improve development speed and productivity. Strong understanding of software engineering best practices, including code quality, maintainability, testing, documentation, and production deployment. Ability to build reusable components and scalable automation frameworks that can be maintained, extended, and adopted across multiple teams. Experience collaborating with engineering teams on technical standards, code reviews, shared infrastructure, and production reliability. Strong problem-solving and analytical skills, with the ability to navigate ambiguous requirements and make sound technical decisions independently. Proven ability to manage complex initiatives from initial concept through production deployment, requiring minimal direction and demonstrating strong ownership of outcomes. Excellent communication and collaboration skills, particularly when working closely with Product, Product Marketing, Design, and Engineering stakeholders. Adaptability, curiosity, and a continuous learning mindset, with the ability to stay current with rapidly evolving AI technologies and development practices.Additional expectations and working environment:
Ability to work effectively within a globally distributed, fully remote, asynchronous-first organization. Availability for approximately six hours of daily working-hour overlap with the team's core schedule, generally within the 8:00 a.m. to 5:00 p.m. Pacific Time window. Comfortable communicating through Slack, written documentation, and regular cross-functional collaboration. Willingness to operate in a high-ownership environment where priorities can evolve quickly and independent decision-making is essential.