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Salary
≈ $132k – $230k per year (Estimated)
Location
Remote (Canada)
Seniority
Senior · 5+ years exp
Visa
Positions approved through LMIA in 12 months: 1 · for this role: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 6, 2026.

Overview
Company
Impact
Profile match
PolicyMe is a Canadian insurance company that specializes in offering affordable and straightforward life insurance, critical illness, and health and dental insurance products. Their services are primarily delivered online, providing users with the convenience of obtaining quotes and securing insurance coverage quickly and efficiently. PolicyMe is recognized for its no-hassle approach, featuring fast approvals and the ability to tailor coverage to the customer's needs.

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 - 20 vacation days
  • A comprehensive benefits plan with premiums paid in full by PolicyMe
  • 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 $160,000 - $195,000 CAD, based on experience. We’ll walk through the details together during the interview.
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