AI Engineer

Quartermaster

. Design, build, and ship LLM-powered and agentic features across the Quartermaster product .

Posted 10/7/2026full-timeToronto • CanadaMid-LevelSenior💰 CA$150,000 - CA$190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and integrating LLM-powered features within a SaaS environment, with strong proficiency in Python and experience in deploying production services. Capable of collaborating across teams to deliver user-focused solutions while applying best practices in testing and incremental delivery.

Highest-signal resume keywords

LLM DevelopmentPython ProgrammingSaaS Web DevelopmentAgentic FrameworksProduction Service Deployment

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

LLM API IntegrationPrompt DesignPythonTypeScriptFastAPIMongoDBLangChainPydanticAILangGraphVector Search

Soft Skills

CollaborationProduct-Engineering Mindset

Tools & Technologies

Claude CodeAI-Assisted Development ToolsCloud Environment

Industry Keywords

SaaSDocument DatabaseProduction MonitoringIncremental DeliveryTesting

Tech Stack

Tools & technologies

CloudMongoDBPythonTypeScript

About the role

Key responsibilities & impact

Design, build, and ship LLM-powered and agentic features across the Quartermaster product
Develop intelligence for maintenance guidance, contractor matching, document understanding, conversational experiences, and similar user-facing capabilities
Integrate LLM APIs and agentic frameworks into the Python/TypeScript SaaS stack
Own features from API design and prompt/agent design through testing, deployment, and production monitoring
Collaborate with product and engineering to scope future work
Apply testing, code review, and incremental delivery practices to LLM-based features
Evaluate and regression-test prompt and agent behavior
Help establish internal patterns and conventions for building and maintaining LLM/agentic features

Requirements

What you’ll need

Hands-on experience building with LLMs, including prompting, API integration, and/or agentic workflows
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 such as 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
Comfort working across the stack, from backend APIs to the LLM/agent layer
Product-engineering mindset focused on shipping features for real users
Experience with a Python async web framework such as FastAPI or similar is preferred
Experience with a document database such as MongoDB or similar is preferred
Experience with TypeScript is preferred
Experience with Claude Code or similar AI-assisted development tools is preferred
Experience with vector search/retrieval pipelines is preferred
Prior experience in a small-team or early-stage SaaS environment, owning features end-to-end is preferred
Willingness to work in person on a set Monday, Thursday and every second Tuesday schedule

Benefits

Comp & perks

30 days of PTO annually, usable for vacation, personal days, or illness
Five company-wide closure days around the start and end of the year
Health, dental and wellness benefits
Tech allowance benefit
Pregnancy and parental leave policies
Higher than usual employee ownership in the company