Junior Software Engineer; Remote

Position: Junior Software Engineer (Remote)
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 Policy Me 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, Postgre

SQL, n8n, Lang Chain/Lang Graph 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, Postgre

SQL 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, Postgre

SQL, 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

Access to stock options and a comprehensive benefits plan

A remote‑first team with company‑paid, in‑person socials and the option to work from our Toronto‑based office

Resources to help your professional development, including an L&D budget, performance reviews twice a year and ongoing feedback to ensure you reach your highest potential

Work with an empathetic, high‑performing team in a flexible, results‑oriented environment

Compensation:  The total cash compensation for this role is  $85,000 - $115,000 CAD , based on experience. In addition, there is a competitive bonus program and opportunity for equity. We’ll walk through the details together during the interview.

Equal Opportunity
Policy Me 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.

#J-18808-Ljbffr