[All remote jobs](https://jobicy.com/jobs.md)[![PolicyMe logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/1e29f43a-221.png)](https://jobicy.com/company/policyme.md)[PolicyMe](https://jobicy.com/company/policyme.md) # Software Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/policyme.md)ShareRemote from[Canada](https://jobicy.com/job-region/canada.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceOpen levelPublished24 Oct 2026Apply before23 Nov 2026Listing views37Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. PolicyMe is hiring a full-stack Software Engineer to build AI-enabled products that improve the insurance broker experience. The role spans Python backend services, React and Redux interfaces, PostgreSQL data work, AWS cloud infrastructure, and production AI/ML integrations. The engineer will prototype AI capabilities, develop reliable data pipelines and observability, and own features through delivery in partnership with QA and cross-functional teams. This is a remote-first, full-time role for candidates in Canada, with optional use of the Toronto office. It suits a proactive engineer who can communicate clearly, learn quickly, and work effectively in an autonomous startup environment. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe position requires production-level full-stack delivery alongside AI/ML integration, cloud architecture, data pipelines, and observability. The evolving product area and end-to-end ownership create meaningful technical and operational complexity. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$130,000US market range (per year)$105k–$145k0$159.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses total target cash compensation of CAD 110,000–150,000 per year. The annual cadence is inferred from the full-time Canadian software-engineering context and the stated compensation magnitude. Estimated Canadian market compensation for a full-stack engineer with AI/ML production responsibilities is CAD 105,000–145,000 annually; this is an AI estimate, not verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[React](https://jobicy.com/jobs?search_keywords=React.md)[Redux](https://jobicy.com/jobs?search_keywords=Redux.md)[PostgreSQL](https://jobicy.com/jobs?search_keywords=PostgreSQL.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[AI/ML integration](https://jobicy.com/jobs?search_keywords=AIML%20integration.md)[LangChain](https://jobicy.com/jobs?search_keywords=LangChain.md)[LangGraph](https://jobicy.com/jobs?search_keywords=LangGraph.md)[Full-stack development](https://jobicy.com/jobs?search_keywords=Full-stack%20development.md)[Cloud architecture](https://jobicy.com/jobs?search_keywords=Cloud%20architecture.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[Software testing](https://jobicy.com/jobs?search_keywords=Software%20testing.md)[Code review](https://jobicy.com/jobs?search_keywords=Code%20review.md) Sample interview questionsDescribe a production feature where you integrated an AI model or external AI API. How did you make it reliable?I would explain the user problem, model or API selection, and the service boundary around the integration. I would highlight input validation, retries, rate-limit handling, fallbacks, evaluation metrics, structured logging, and monitoring for quality, latency, and failures. How would you design a document-processing pipeline for an insurance workflow? I would separate ingestion, storage, extraction, validation, review, and downstream workflow stages. The design would use asynchronous processing, idempotent jobs, encrypted document storage, audit trails, confidence thresholds, and human review for low-confidence extractions. How do you approach building a feature across Python services and a React application? I start by clarifying the workflow, data contract, failure cases, and acceptance criteria. I design versioned API boundaries, build and test the backend behavior, implement clear loading and error states in the interface, and use end-to-end observability to validate the release. What observability would you add to an AI-powered cloud service? I would instrument request volume, latency, error rates, queue depth, infrastructure health, token or model usage, model-output quality signals, and business outcomes. Correlated logs, traces, dashboards, alerts, and privacy-conscious payload handling would make incidents diagnosable. How do you balance rapid experimentation with maintainable engineering in a startup? I use short prototypes to validate assumptions, define measurable success criteria, and then productionize only validated approaches. I keep interfaces modular, document key decisions, add focused tests and monitoring, and communicate trade-offs early so speed does not create unmanaged operational risk. Opportunity details ## About this role. 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](http://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. Show more [Apply now >](https://jobicy.com/jobs/156829-software-engineer-13.md) > Annual salary information is not provided for this position. 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