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.