AI-Driven Full Stack Engineer
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Weāre on a mission to modernize insurance, making it simpler, more accessible, and customer-first. The insurance industry is a $1T market thatās remained largely untouched by the digital revolution, and PolicyMe is here to change that. As a remote-first, Toronto-based startup with big ambitions, weāre 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 territoryādesigning 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:
- 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
- Stay current on emerging AI technologies/frameworks and explore new applications
- Build scalable, reliable backend services to fuel our AI workflows
- Create intuitive user experiences that surface AI-powered capabilities
- 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
- Familiarity with AI/ML concepts from coursework, side projects, or work experience
- Passion for building intelligent applications that solve real-world problems
- Eagerness to learn, embrace ambiguity, and continually upskill in a rapidly evolving space
- Hands-on experience or projects interacting with AI APIs/models (e.g., prompt engineering)
- 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
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PolicyMe
View Company ProfilePolicyMe is a rapidly growing Canadian InsurTech company that is fundamentally disrupting the traditional life insurance industry. Founded in 2018 and headquartered in Toronto, Ontario, the company was built to strip away the complexity, hidden fees, and aggressive upselling of legacy insurance brokers. Under the hood, PolicyMe operates a fully digital, direct-to-consumer platform offering highly affordable term life and critical illness insurance. By leveraging advanced algorithmic underwriting, the platform can process applications in real-time, granting instant approvals to the majority of users and eliminating the need for tedious medical exams or blood tests. Their primary target audience includes young families, new homeowners, and modern parents across Canada who desperately need straightforward financial protection without the hassle of a weeks-long paper process. What sets PolicyMe apart in the archaic financial services sector is its radical transparency, its user-centric UX that reduces the application to just 20 minutes, and its highly efficient operating model that passes operational savings directly to the consumerāoften resulting in rates significantly cheaper than traditional legacy providers.
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