Senior Software Engineer (Remote)
Policyme · Ontario · posted Aug 6, 2026
What this role actually asks for
Extracted by RemoteHuntMust have
- •5+ years fullstack web development
- •Production AI/ML systems experience
- •Expertise in NLP, computer vision, recommendation engines
- •Cloud infrastructure, distributed systems, microservices
- •Architect and lead end-to-end AI projects
- •Strong React, Python, Node.js skills
Nice to have
- •Experience building foundational systems
- •Experience in fast-paced startup environments
Tools and technologies
The full posting
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 $154,000 - $176,000 CAD , based on experience. We’ll walk through the details together during the interview.
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