{"id":159868,"url":"https://alion.io/job/policyme-junior-software-engineer-remote-2","title":"Junior Software Engineer (Remote)","company":{"id":8913,"name":"PolicyMe","domain":"policyme.com","url":"https://alion.io/company/policyme","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":79000,"max_usd":161000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":109},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"n8n","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Redux","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-08-28T13:49:04Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-16T17:56:48Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Overview of the role\nWe’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.\nWe'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.\nYou 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.\nWhat you'll be doing:\nDevelop full stack features for our AI-powered web application using Python, React, Redux, PostgreSQL and AWS\nIntegrate AI models and APIs for tasks like document processing, data extraction, recommendation engines etc.\nWork closely with Sr. Engineers experienced in AI to seamlessly integrate models into production\nStay current on emerging AI technologies/frameworks and explore new applications\nBuild scalable, reliable backend services to fuel our AI workflows\nCreate intuitive user experiences that surface AI-powered capabilities\nParticipate in architecture planning, code reviews, and ideation sessions\nTake ownership of feature development end-to-end (once ramped up), coordinating with QA and other teams\nEngage in cross-team communication to help unblock dependencies and improve release flow\nShare ideas during quarterly planning to help shape what we build next\nParticipate in company-wide initiatives such as hackathons, engineering guilds, and AI tooling experiments\nWhat we are looking for:\nStrong full-stack development skills with the ability to work across backend and frontend using Python, React, Redux, PostgreSQL, and AWS\nFamiliarity with AI/ML concepts from coursework, side projects, or work experience\nPassion for building intelligent applications that solve real-world problems\nEagerness to learn, embrace ambiguity, and continually upskill in a rapidly evolving space\nHands-on experience or projects interacting with AI APIs/models (e.g. prompt engineering)\nSelf-starter with a career-driven mindset who thrives in an environment with autonomy and accountability\nCollaborative team player with low ego who is open to feedback and eager to help others\nDetail-oriented approach to problem-solving, especially in complex domains\nWhy join us:\nGenerous PTO - 20 vacation days\nA comprehensive benefits plan with premiums paid in full by PolicyMe\nInvestment 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\nAn extremely high performing, low-ego, remote-first team that is truly disrupting an old industry\nOption 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!)\nAccess to stock options based on performance\nCompensation: The total target cash compensation for this role is $80,000-$110,000 CAD, based on experience. 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