Software Engineer, AI Engineer (Applied​/Software), Full Stack Developer

Location:

Canada

Overview of the role

We’re on a mission to modernize insurance, making it simpler, more accessible, and customer-first. The insurance industry is a $1T market that’s remained largely untouched by the digital revolution, and Policy Me is here to change that. As a remote-first, Toronto-based startup with big ambitions, we’re building the future of insurance in Canada and beyond.

We're building a groundbreaking new product line that will transform the insurance broker experience through AI and machine learning. As an AI-Driven Full Stack Engineer, you'll be part of a team charting new territory - designing and implementing intelligent systems that automate manual processes and unlock powerful data-driven insights.

You will work across the stack, contributing to front end, back end, and AI/ML initiatives, while also participating in architecture discussions, release planning, and company-wide engineering initiatives. Our core stack includes Python, React, Redux, PostgreSQL, n8n, Lang Chain/Lang Graph and AWS
, and we are always open to adopting new tools and technologies that help us deliver better results.

• Design and develop full stack features for our AI-powered web application using Python, React, Redux, PostgreSQL, and AWS
• Integrate AI models and APIs for tasks like document processing, data extraction, recommendation engines etc.
• Work closely with Sr. Engineers experienced in AI to seamlessly integrate models into production
• Research and prototype new AI applications to continuously enhance our product capabilities
• Construct scalable, secure, and observable cloud architectures for our core AI services
• Implement robust data pipelines to fuel AI model training and inference
• Craft seamless user experiences that surface AI-powered functionality
• Participate in architecture planning, code reviews, and ideation sessions
• Take ownership of feature development end-to-end (once ramped up), coordinating with QA and other teams
• Engage in cross-team communication to help unblock dependencies and improve release flow
• Share ideas during quarterly planning to help shape what we build next
• Participate in company-wide initiatives such as hackathons, engineering guilds, and AI tooling experiments

• Strong full-stack development skills with the ability to work across backend and frontend using Python, React, Redux, PostgreSQL, and AWS
• Hands-on experience integrating and deploying AI/ML technology into production environments
• Solid understanding of AI/ML concepts and how to incorporate them to provide value to customers
• Ability to design modular, testable, and scalable backend architectures