AI-driven full-stack engineer building intelligent insurance software at PolicyMe. Developing AI-powered web features, cloud architectures, and data pipelines for Canada’s digital insurance market.
Responsibilities
Design and develop full-stack features for an AI-powered web application
Integrate AI models and APIs for document processing, data extraction, and recommendation engines
Collaborate with senior engineers to integrate models into production
Research and prototype new AI applications
Build scalable, secure, and observable cloud architectures for AI services
Implement data pipelines for AI model training and inference
Create user experiences featuring AI-powered functionality
Participate in architecture planning, code reviews, and ideation sessions
Own feature development end-to-end and coordinate with QA and other teams
Communicate across teams to unblock dependencies and improve release flow
Contribute to quarterly planning and company-wide initiatives, including hackathons, engineering guilds, and AI tooling experiments
Requirements
Strong full-stack development skills 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 customer-focused applications
Ability to design modular, testable, and scalable backend architectures
Ability to learn new frameworks, libraries, and tools quickly
Expertise in observability and monitoring for cloud-native applications
Proven track record of proactive communication and adapting technical explanations to different audiences
Detail-oriented problem-solving approach, especially in complex domains
Benefits
20 vacation days
Comprehensive benefits plan with premiums paid in full by PolicyMe
L&D budget
AI tooling budget
Performance reviews twice a year
Ongoing feedback and professional development support
Remote-first work arrangement
Option to work from home or the Toronto-based office
Company-covered costs to bring employees in person twice a year for experiential socials
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