AI Engineer Agent Development (GenAI / LLMs)

Here is OUR CLIENT REQUIREMENT which can be filled immediately.

Position: AI Engineer Agent Development (GenAI / LLMs)
Location: Richardson/ Rhode Island/Remote
Duration: Contract
Visa Status GC

Job Description
Deep hands-on experience with Agentic AI, RAG, and production deployments
Strong understanding of scaling, monitoring, and operational support
Ownership of architecture and implementation decisions
Ability to clearly and confidently articulate technical depth and real-world experience

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