PolicyMe
Insurance
AI-DrivenFullStackEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI-Driven Full Stack Engineer at PolicyMe. Skills: Python, React, AI/ML, AWS. Design full stack features. Develop full stack features”
What You'll Achieve.
automate manual processes; unlock powerful data-driven insights; continuously enhance our product capabilities; fuel AI model training and inference; surface AI-powered functionality; improve release flow; shape what we build next; deliver better results
Industry & Context.
Detail-oriented approach to problem-solving; complex domains
What They're Looking For.
Must Have
full-stack development skills, work across backend and frontend, integrating and deploying AI/ML technology, design modular, testable, and scalable backend architectures, building observability and monitoring, proactive communication, adapt technical explanations to different audiences
Nice to Have
learning new frameworks, libraries, and tools quickly, Intellectual curiosity, upskill in emerging AI technologies, Self-starter, career-driven mindset, thrives in an environment with autonomy and accountability, Collaborative team player, low ego, open to feedback, eager to help others, Detail-oriented approach to problem-solving
What You'll Do.
Design full stack features
Develop full stack features
Research new AI applications
Prototype new AI applications
Construct cloud architectures
Implement data pipelines
Craft user experiences
Participate in architecture planning
Participate in code reviews
Participate in ideation sessions
Take ownership of feature development
Engage in cross-team communication
Share ideas during quarterly planning
Participate in company-wide initiatives
How You'll Work.
Team & Collaboration
Work closely with Sr. Engineers; Participate in architecture discussions; Participate in release planning; Participate in company-wide engineering initiatives; Coordinate with QA and other teams; Engage in cross-team communication; help unblock dependencies; improve release flow; Share ideas during quarterly planning; Collaborative team player
Communication Scope
proactive communication; adapt technical explanations to different audiences
Process & Methodology
release planning, quarterly planning
Full Job Description
## Description 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
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