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Junior Software Engineer; Remote

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Logoslabs
Remote/Work from Home position
Listed on 2026-10-22
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Python, React.js
Salary/Wage Range or Industry Benchmark: 56548.8 - 77754.6 USD Yearly USD 56548.80 77754.60 YEAR
Job Description & How to Apply Below
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, PostgreSQL, 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, 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 Policy Me

  • 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 Policy Me

At Policy Me, we are Canada’s leading digital insurance solution, offering straightforward and…

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