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, robust 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
- Strong 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.

📌 LLM Agentic Software Engineer (Toronto)
🏢 hireVouch
📍 Toronto