{"id":4323563,"url":"https://alion.io/job/quartermaster-ai-engineer","title":"AI Engineer","company":{"id":2585876,"name":"Quartermaster","domain":"qmstack.com","url":"https://alion.io/company/qmstack","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":190000,"currency":"CAD","period":"year","gross":null,"usd_annual":133213},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Pydantic AI","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Claude","optional":true},{"name":"FastAPI","optional":true}],"status":"live","first_seen_at":"2026-10-06T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-11-14T22:14:00Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"BUILD SOMETHING YOUR NEIGHBOURS WILL LOVE\nWe’re building home management for GTA homeowners, and a better way for neighbours and the local Pros they trust to be useful to each other.\nOur focus is the GTA, and only the GTA for now. We grow one neighbourhood at a time. We’re a local tech company in every sense of the word, and we start with integrity and the belief that good work matters.\nWe believe homeowners should have everything their home needs in one place, and that neighbourhoods work best when trust runs high and stays local. Commissions should be small and charged only on completed work, so the best Pros can actually say yes. Tech companies should go to work for the locally loved Pros of the GTA, rather than trying to get those Pros to effectively work for the tech company.\nIf this resonates with you and you’re at a point in your career and your life where you want to do something uniquely difficult for a meaningful outcome, you’ve found your next home.\nROLE OVERVIEW\nThe engineering team is looking for an AI Engineerwho can build the LLM and agentic capabilities that bring intelligence into the Quartermaster experience. This role is less about traditional ML modelling and more about the hands-on software engineering needed to get LLMs into production: prompting, agentic workflows, and API-based model integration, shipped through our existing Python/TypeScript stack.\nThis is a hands-on role for an ambitious engineer, someone with a strong SaaS software background who's looking to grow into owning intelligent features end-to-end. You don't need a modelling or academic ML background; you need solid engineering fundamentals, real experience shipping LLM-backed features, and the initiative to help figure out where intelligence belongs in the product next.\nEMPLOYEE OWNERSHIP:\nWe’re a team on a mission. We expect a high degree of ownership from each other and we pair that with higher than usual employee ownership in the company.\nKEY RESPONSIBILITIES:\nDesign, build, and ship LLM-powered and agentic features across the Quartermaster product - maintenance guidance, contractor matching, document understanding, conversational experiences, and similar user-facing intelligence\nIntegrate LLM APIs and agentic frameworks into our Python/TypeScript SaaS stack, following our existing engineering patterns and conventions\nTake ownership of these features from API design and prompt/agent design through testing, deployment, and monitoring in production\nCollaborate with product and engineering to scope what to build next, not just execute a fixed spec\nApply sound software engineering practice (testing, code review, incremental delivery) to LLM-based features - including evaluating and regression-testing prompt and agent behavior, not just conventional code paths\nHelp establish internal patterns and conventions for building and maintaining LLM/agentic features as the team grows this capability\nREQUIRED QUALIFICATIONS:\nHands-on experience building with LLMs- prompting, API integration, and/or agentic workflows (not limited to a research or notebook context)\nStrong software engineering fundamentals, with hands-on experience in Python\nBackground in SaaS web development- building and shipping features in a production web application\nExperience with agentic frameworks(e.g., LangChain, PydanticAI, LangGraph, or equivalent)\nExperience deploying and operating production services in a cloud environment\nAwareness of LLM API cost, latency, and rate-limit tradeoffs when designing production features\nComfortable working across the stack - from backend APIs to the LLM/agent layer\nA product-engineering mindset: you care about shipping a feature that works for real users, not just a model that scores well offline\nPREFERRED (NICE TO HAVE):\nExperience with a Python async web framework(FastAPI or similar) and a document database(MongoDB or similar)\nExperience with Typescript\nExperience with Claude Codeor similar AI-assisted development tools\nExperience with vector search / retrieval pipelines\nPrior experience in a small-team or early-stage SaaS environment, owning features end-to-end\nTHIS IS A GOOD FIT FOR YOU IF…\nYou’re mission-driven and looking to solve the mission’s hardest problems.\nYou’re at a point in your life and your career where you want to tackle a uniquely demanding job to produce meaningful impact.\nYou’re keen to work in-person with a team on a set Monday, Thursday and every second Tuesday schedule.\nROLE SALARY BAND\n$150,000 - $190,000\nLOCATION\nWe believe that in-person work builds a level of connection and shared understanding that fully-remote work cannot achieve.\nThis role requires you to work at our office every Monday, every Thursday and every second Tuesday. Reasonable exceptions are made when life happens, but these should be infrequent.\nIf you are not already located in Toronto or one of its nearby suburbs, we will only be able to consider your application if you already have concrete plans to relocate to the Toronto area.\nOUR VALUES\nIntegrity - We prioritize integrity over comfort, convenience, and the short-cuts of success that drive metrics but undermine trust.\nTrust - We cannot win unless we win on trust. Trust is hard to earn and easy to lose. We need to be built for it in our DNA.\nCompetitiveness - We believe that competitiveness is a critical complement to integrity and trust. If we’re not our customer’s best choice, then we’re wasting their time. We believe in the power of healthy competitive markets, and we believe we need to be uniquely competitive to win in this space. We have too much respect for the other players in this space to expect things to be easy. That’s a good thing.\nEmpowerment - Any win we achieve needs to be first and foremost a win that we deliver to others, starting with our customers, and their long term best interests.\nVACATION AND BENEFITS\nWe know the power it takes to be successful in a challenging mission and we want to ensure our team is rested and ready to go.\nWe offer 30 days of PTO annually, which can be used for vacation, personal days, or illness. Five of these days are designated as company-wide closures around the start and end of the year.\nIn addition, our benefits plan covers health, dental and wellness to add that extra pep in our step, and help us sleep at night.\nWe have a tech allowance benefit to help set you up for work. \nWe have pregnancy and parental leave policies, and we’re ready to support your family’s next stage of growth.\nEMPLOYEE OWNERSHIP\nWe’re a team on a mission. We expect a high degree of ownership from each other and we pair that with higher-than-usual employee ownership in the company.\nA NOTE ON HUMAN BEINGS\nWe believe that meaning is created between human beings. 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