Software Engineer (Remote)

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.

What you'll be doing:

• 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

What we are looking for:

• 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
• Comfortable learning new frameworks, libraries, and tools quickly
• Expertise in building observability and monitoring for cloud-native applications
• Intellectual curiosity to continuously learn and upskill in emerging AI technologies
• Proven track record of proactive communication with the ability to adapt technical explanations to different audiences
• Self-starter with a career-driven mindset who thrives in an environment with autonomy and accountability
• Collaborative team player with low ego who is open to feedback and eager to help others
• Detail-oriented approach to problem-solving, especially in complex domains

Why join us:

• Generous PTO - 20 vacation days
• A comprehensive benefits plan with premiums paid in full by PolicyMe
• Investment 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 potential
• An extremely high performing, low-ego, remote-first team that is truly disrupting an old industry
• Option 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 performance
• Compensation: The total target cash compensation for this role is $110,000 - $150,000 CAD, based on experience. We’ll walk through the details together during the interview.