Software Engineer

Status
Open
Remote policy
Not stated
Employment type
Full-time
Salary
Not stated
Categories
Software Engineering
Tech
awspostgrespythonremote-countrysoftware
Source
jobicy-dev
First observed
2026-08-17 16:39 UTC
Last seen
2026-10-18 08:58 UTC
Source claims posted
2026-10-18 03:50 UTC
Consecutive misses
0 of 10

What the posting says

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-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

Hands-on experience integrating and deploying AI/ML technology into production environments

Solid understanding of AI/ML concepts and how to incorporate them to provide value to customers

Ability to design modular, testable, and scalable backend architectures

Comfortable learning new frameworks, libraries, and tools quickly

Expertise in building observability and monitoring for cloud-native applications

Intellectual curiosity to continuously learn and upskill in emerging AI technologies

Proven track record of proactive communication with the ability to adapt technical explanations to different audiences

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 $110,000 – $150,000 CAD, based on experience. We’ll walk through the details together during the interview.

Compensation

Additional Information

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.

Quality

Completeness: 45%
Honesty: 60%

Based on 39 observation(s).

Timeline

  1. *
    #132544 2026-08-17 16:39 UTC
    Published
  2. o
    #288959 2026-08-23 04:48 UTC
    Not seen
    Miss 1 in a row
  3. o
    #290699 2026-08-23 05:49 UTC
    Not seen
    Miss 2 in a row
  4. o
    #290865 2026-08-23 06:49 UTC
    Not seen
    Miss 3 in a row
  5. o
    #292117 2026-08-23 07:51 UTC
    Not seen
    Miss 4 in a row
  6. o
    #292715 2026-08-23 08:51 UTC
    Not seen
    Miss 5 in a row
  7. o
    #294715 2026-08-23 09:52 UTC
    Not seen
    Miss 6 in a row
  8. o
    #294899 2026-08-23 10:53 UTC
    Not seen
    Miss 7 in a row
  9. o
    #296219 2026-08-23 11:54 UTC
    Not seen
    Miss 8 in a row
  10. o
    #296428 2026-08-23 12:54 UTC
    Not seen
    Miss 9 in a row
  11. o
    #298073 2026-08-23 13:56 UTC
    Not seen
    Miss 10 in a row
  12. x
    #298074 2026-08-23 13:56 UTC
    Closed
  13. ^
    #376106 2026-08-26 05:25 UTC
    Reopened
  14. o
    #414401 2026-08-28 07:06 UTC
    Not seen
    Miss 1 in a row
  15. o
    #414664 2026-08-28 08:07 UTC
    Not seen
    Miss 2 in a row
  16. o
    #415388 2026-08-28 09:09 UTC
    Not seen
    Miss 3 in a row
  17. o
    #416131 2026-08-28 10:09 UTC
    Not seen
    Miss 4 in a row
  18. o
    #417822 2026-08-28 11:11 UTC
    Not seen
    Miss 5 in a row
  19. o
    #418567 2026-08-28 12:11 UTC
    Not seen
    Miss 6 in a row
  20. o
    #419415 2026-08-28 13:13 UTC
    Not seen
    Miss 7 in a row
  21. o
    #420108 2026-08-28 14:13 UTC
    Not seen
    Miss 8 in a row
  22. o
    #422237 2026-08-28 15:15 UTC
    Not seen
    Miss 9 in a row
  23. o
    #422642 2026-08-28 16:15 UTC
    Not seen
    Miss 10 in a row
  24. x
    #422643 2026-08-28 16:15 UTC
    Closed
  25. ^
    #815957 2026-09-17 16:34 UTC
    Reopened
  26. ~
    #815958 2026-09-17 16:34 UTC
    Modified
    • Posted at
      2026-08-17 13:03 UTC->2026-09-17 05:35 UTC
  27. o
    #1030673 2026-09-27 12:21 UTC
    Not seen
    Miss 1 in a row
  28. o
    #1031474 2026-09-27 13:22 UTC
    Not seen
    Miss 2 in a row
  29. o
    #1032476 2026-09-27 14:25 UTC
    Not seen
    Miss 3 in a row
  30. o
    #1033011 2026-09-27 15:26 UTC
    Not seen
    Miss 4 in a row
  31. o
    #1033720 2026-09-27 16:29 UTC
    Not seen
    Miss 5 in a row
  32. o
    #1034109 2026-09-27 17:30 UTC
    Not seen
    Miss 6 in a row
  33. o
    #1034845 2026-09-27 18:38 UTC
    Not seen
    Miss 7 in a row
  34. o
    #1035469 2026-09-27 19:41 UTC
    Not seen
    Miss 8 in a row
  35. o
    #1036130 2026-09-27 20:48 UTC
    Not seen
    Miss 9 in a row
  36. o
    #1036470 2026-09-27 21:56 UTC
    Not seen
    Miss 10 in a row
  37. x
    #1036471 2026-09-27 21:56 UTC
    Closed
  38. ^
    #1401933 2026-10-18 08:58 UTC
    Reopened
  39. ~
    #1401934 2026-10-18 08:58 UTC
    Modified
    • Posted at
      2026-09-17 05:35 UTC->2026-10-18 03:50 UTC