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PolicyMe

Junior Software Engineer (Remote)

Posted 7 Days Ago
In-Office or Remote
Hiring Remotely in Ontario, IN
80K-110K Annually
Junior
In-Office or Remote
Hiring Remotely in Ontario, IN
80K-110K Annually
Junior
Develop full-stack features for an AI-powered insurance application using Python, React, Redux, PostgreSQL, and AWS. Integrate AI models and APIs for document processing, data extraction, and recommendations; build scalable backend services and intuitive user interfaces; and contribute to architecture, code reviews, releases, and cross-team engineering initiatives.
The summary above was generated by AI
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:

  • 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

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 $80,000–$110,000 CAD, based on experience. We’ll walk through the details together during the interview.

About PolicyMe
At PolicyMe, we are Canada’s leading digital insurance solution, offering straightforward and affordable financial protection for families from coast to coast. Our product suite includes Life Insurance, Critical Illness Insurance, and Health & Dental Insurance, all tailored to Canadians' evolving needs. We also offer B2B2C solutions, partnering with organizations to provide seamless digital insurance options. Founded by a team of insurance experts and technology entrepreneurs, PolicyMe is committed to making insurance simpler and more accessible. Since our launch in 2018, we have grown exponentially, selling over $10 billion in insurance coverage to Canadians.
 
We are proud of the team we’ve built and are excited for those that are yet to join us. We operate with a remote-first culture, attracting top talent from across Canada. If you’re looking for a fast-paced, collaborative environment, working alongside incredibly ambitious yet humble humans, we may be the right place for you! To learn more, visit www.policyme.com.
 
Additional Notes
- Job Vacancy: This role reflects growth in our team and expanded operational scope. We’re hiring to support increasing demand and continue delivering an exceptional customer experience.
- Commitment to Equal Opportunity: PolicyMe is an equal opportunity employer. We welcome applicants of all backgrounds and provide fair consideration regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability.
- Accessibility Statement: We are committed to providing an accessible hiring experience. If you require accommodations during the application process, please indicate this in the “Additional Information” section of your application.
 
We thank all applicants for their interest, however, only those selected for an interview will be contacted.

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