- Salary
- $132k – $165k
- Location
- Ontario
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Source
- Lever
Description
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 PolicyMe 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, LangChain/LangGraph and AWS, and we are always open to adopting new tools and technologies that help us deliver better results.
Skills
PythonReactAWSPostgreSQLMachine Learning
Benefits
Generous PTO - 20 vacation daysA comprehensive benefits plan with premiums paid in full by PolicyMeInvestment in your professional development, including an L&D budget, AI tooling budget, performance reviews twice a year and ongoing feedback to ensure you reach your highest potentialAn extremely high performing, low-ego, remote-first team that is truly disrupting an old industryOption to work from home or our Toronto-based office (bonus: we cover the costs to bring all our employees in-person twice a year for experiential socials!)Access to stock options based on performanceCompensation: The total target cash compensation for this role is $132,000 - $165,000 CAD, based on experience. We’ll walk through the details together during the interview.
