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.
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