LLM Agentic Software Engineer

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
• 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.