Build LLM-powered and agentic features for Quartermaster using Python, TypeScript, prompting, and API-based model integration. This is hands-on software engineering.

As an AI Engineer, you will ship intelligent capabilities across a production SaaS application. You will work with LLM APIs, agentic workflows, and existing engineering patterns. The role suits an engineer with real experience delivering LLM-backed features, strong Python fundamentals, and a product-engineering mindset.

Key Responsibilities:

Build LLM-powered and agentic Quartermaster product features

Integrate model APIs into Python and TypeScript services

Design prompts, agents, tests, deployments, and monitoring

Evaluate and regression-test prompt and agent behavior





Establish patterns for maintaining LLM features

Requirements:

Hands-on LLM prompting, API integration, or agentic workflow experience

Solid software engineering fundamentals and Python experience

Production SaaS web development background

Experience with agentic frameworks such as LangChain or LangGraph

Experience operating cloud-based production services

Apply your Python, TypeScript, LLM, and agentic engineering experience to intelligent Quartermaster features for real users.

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📌 Software Engineer, Development & Deployment (Toronto)
🏢 hireVouch
📍 Toronto