Senior 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: Leading the design and development of full stack features for our AI-powered web application using Python, React, Redux, PostgreSQL, and AWS Defining the technical vision and architectural principles for AI/ML systems Driving innovation by researching and prototyping cutting-edge AI technologies Ensuring security, scalability, and observability best practices across cloud architecture Work within a cross-functional environment partnering closely with product, design, and business teams to communicate technical designs/strategies Serve as a role model for engineering standards and bring consistency across systems and processes while mentoring junior and intermediate engineers Help drive sound technical decision-making across ambiguous, system-spanning problems What we are looking for: A strong technical background with 5+ years of experience in fullstack web development and production AI/ML systems Deep expertise in AI/ML domains like NLP, computer vision, recommendation engines etc. Proficiency with cloud infrastructure, distributed systems, microservices Proven ability to architect and lead end-to-end AI projects, including security best practices Exceptional technical communication and knowledge sharing abilities Track record of managing ambiguity and delivering innovative solutions An appreciation for fast-paced startup environments and experience building foundational systems Demonstrated ability to take ambiguous technical challenges and drive them to resolution with cross-functional teams Strong development skills in React, Python, and Node, or equivalent technologies with the ability to ramp up quickly Why join us: Generous PTO