Software Engineer - Machine Learning (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.

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.
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
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
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
Collaborative team player with low ego who is open to feedback and eager to help others
Generous PTO - 20 vacation days
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 $132,000 - $165,000 CAD , based on experience.