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, solid Python fundamentals, and a product-engineering mindset.
Key Responsibilities
Build LLM-powered and agentic Quartermaster product featuresIntegrate model APIs into Python and TypeScript servicesDesign prompts, agents, tests, deployments, and monitoringEvaluate and regression-test prompt and agent behaviorEstablish patterns for maintaining LLM featuresRequirements:
Hands-on LLM prompting, API integration, or agentic workflow experienceStrong software engineering fundamentals and Python experienceProduction SaaS web development backgroundExperience with agentic frameworks such as LangChain or LangGraphExperience operating cloud-based production servicesApply your Python, TypeScript, LLM, and agentic engineering experience to intelligent Quartermaster features for real users.
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