2,286,187open jobs
145,457companies
275,940added this week
Browse all
Salary
$105k – $133k per year
Location
In office (Toronto)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Oct 6, 2026.

Overview
Company
Impact
Profile match
Run your whole self-hosted stack from your iPhone, iPad and Mac: 64 services and three worlds, from Radarr and Sonarr to Proxmox, Home Assistant and your books.

BUILD SOMETHING YOUR NEIGHBOURS WILL LOVE

We’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.

Our 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.

We 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.

If 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.

ROLE OVERVIEW

The 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.

This 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.

EMPLOYEE OWNERSHIP:

We’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.

KEY RESPONSIBILITIES:

  • Design, 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
  • Integrate LLM APIs and agentic frameworks into our Python/TypeScript SaaS stack, following our existing engineering patterns and conventions
  • Take ownership of these features from API design and prompt/agent design through testing, deployment, and monitoring in production
  • Collaborate with product and engineering to scope what to build next, not just execute a fixed spec
  • Apply 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
  • Help establish internal patterns and conventions for building and maintaining LLM/agentic features as the team grows this capability

REQUIRED QUALIFICATIONS:

  • Hands-on experience building with LLMs- prompting, API integration, and/or agentic workflows (not limited to a research or notebook context)
  • Strong software engineering fundamentals, with hands-on experience in Python
  • Background in SaaS web development- building and shipping features in a production web application
  • Experience with agentic frameworks(e.g., LangChain, PydanticAI, LangGraph, or equivalent)
  • Experience deploying and operating production services in a cloud environment
  • Awareness of LLM API cost, latency, and rate-limit tradeoffs when designing production features
  • Comfortable working across the stack - from backend APIs to the LLM/agent layer
  • A product-engineering mindset: you care about shipping a feature that works for real users, not just a model that scores well offline

PREFERRED (NICE TO HAVE):

  • Experience with a Python async web framework(FastAPI or similar) and a document database(MongoDB or similar)
  • Experience with Typescript
  • Experience with Claude Codeor similar AI-assisted development tools
  • Experience with vector search / retrieval pipelines
  • Prior experience in a small-team or early-stage SaaS environment, owning features end-to-end

THIS IS A GOOD FIT FOR YOU IF…

  • You’re mission-driven and looking to solve the mission’s hardest problems.
  • You’re at a point in your life and your career where you want to tackle a uniquely demanding job to produce meaningful impact.
  • You’re keen to work in-person with a team on a set Monday, Thursday and every second Tuesday schedule.

ROLE SALARY BAND

$150,000 - $190,000

LOCATION

We believe that in-person work builds a level of connection and shared understanding that fully-remote work cannot achieve.

This 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.

If 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.

OUR VALUES

Integrity - We prioritize integrity over comfort, convenience, and the short-cuts of success that drive metrics but undermine trust.

Trust - 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.

Competitiveness - 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.

Empowerment - 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.

VACATION AND BENEFITS

We 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.

  • We 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.
  • In addition, our benefits plan covers health, dental and wellness to add that extra pep in our step, and help us sleep at night.
  • We have a tech allowance benefit to help set you up for work.
  • We have pregnancy and parental leave policies, and we’re ready to support your family’s next stage of growth.

EMPLOYEE OWNERSHIP

We’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.

A NOTE ON HUMAN BEINGS

We believe that meaning is created between human beings. This job description was written by a human, and every resume will be reviewed by a human.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,286,187 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Remote, many countries
Similar stack
Same company
Toronto
$67k – $102k per year · Hybrid · 4+ years exp · Bachelor's Degree · Kanata
Python
C++
AI/ML
LangGraph
LangChain
Claude Code
LoRA
Vertex AI
Fine-tuning
Quantization
Multimodal AI
Knowledge Distillation
Function Calling
Computer Vision
VLM
TensorRT
PEFT
QLoRA
LLM
RAG
Google ADK
OpenAI Codex
LLM Evaluation
LLM Guardrails
Edge AI
LiteRT
ONNX Runtime
Model Distillation
Machine Learning
DevOps
GCP
CI/CD
Git
Docker
Kubernetes
Apply
$109k – $149k per year · Equity · Remote (North America) · 8+ years exp · Master's Degree · Canada
AI/ML
Claude
AI Agents
OpenAI Codex
Apply
$182k – $203k per year · In office · Toronto
Python
JavaScript
Java
Java
Spring Boot
AI/ML
AI Agents
RAG
Frontend
React.js
DevOps
Azure
AWS
Apply
MLOps Developer 2 days ago
$109k per year · In office · Toronto
Python
AI/ML
DVC
MLFlow
LLM
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Management
Agile
Apply
AI Architect 1 day ago
Remote (Canada) · Full-Time · 15+ years exp · Halifax
AI/ML
Model Context Protocol
Vertex AI
AI Agents
AgentOps
LLM
Hybrid Search
OpenAI
Anthropic
Context Engineering
LLM Guardrails
Frontend
GraphQL
DevOps
Platform Engineering
QA
Rest-Assured
Apply
Remote (LATAM)
Python
AI/ML
LangGraph
LangChain
Model Context Protocol
Embeddings
Function Calling
Pydantic AI
LLM
RAG
Reranking
Machine Learning
Apply
$100k – $120k per year · Remote (United States, Canada) · Full-Time · 12+ years exp · Toronto
Cybersecurity
SOC 2
Marketing
HubSpot
Apply
In office · Contractor · High School Diploma · Toronto
Apply
In office · Contractor · High School Diploma · Toronto
Apply
Product Chief of Staff 12 hours ago
In office · Full-Time · Bachelor's Degree · Toronto
Apply
In office · Part-Time · Toronto
Apply
See all jobs
This is one of many
2,286,187 more open roles from verified company boards, updated every day.