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OVERVIEW

We are building an intelligent agent platform for a large-scale healthcare enterprise serving ~9,000 locations and millions of daily interactions. This role focuses on developing and optimizing LLM-powered agents that drive real-world workflows — scheduling, location-based services, and patient-facing engagement — as part of a greenfield build on a fast-moving team.

WHAT YOU’LL DO

·       Design, develop, and deploy AI agents using LLM frameworks (LangChain, LangGraph, ADK, or equivalent)

·       Build agent workflows that support high-throughput, real-time user interactions

·       Integrate agents with internal and external APIs: scheduling, location services, and healthcare data sources

·       Partner with QA and validation teams to test and productionize agent capabilities

·       Troubleshoot and optimize agent performance within the platform

·       Expand agent use cases as business needs evolve

MUST-HAVE QUALIFICATIONS

·       5-8 years building AI/LLM-based applications or agents in production environments

·       1–2 years hands-on with LangChain, LangGraph, ADK, or similar orchestration frameworks

·       Strong API integration experience with real-time data workflows

·       Python proficiency for backend and AI development

·       Experience working in structured environments with QA and validation processes

·       Able to move fast and operate effectively in high-urgency, ambiguous settings

NICE TO HAVE

·       Experience on high-scale systems with millions of daily interactions

·       Conversational AI, IVR, or workflow automation agent experience

·       Familiarity with healthcare, retail, or location-based service ecosystems

·       Exposure to enterprise or internal AI platforms