Generative AI Architect - RAG / LLM

Key Responsibilities :

• Design and Implement Intelligent Agents : Lead the architecture, development, and deployment of sophisticated multi-step intelligent agents using LangGraph for complex workflows.
• Integrate and Optimize AI Tools : Leverage MCP tools effectively within agent designs to enhance functionality and performance.
• Cloud-Native Deployment : Implement and manage agent deployments on Azure AI Foundry and Functions, ensuring scalable, robust, and efficient operations.
• RAG Stack Optimization : Work with the broader retrieval-augmented generation (RAG) stack, including embeddings, vector databases, and chunking strategies, to enable intelligent document understanding across insurance submissions and claims.
• Agent Orchestration & Debugging : Comfortably engineer prompts, orchestrate agent interactions, and meticulously debug complex multi-step agent behaviors.

Develop Specific Agent Use Cases :

Required Skills & Experience :

Bonus Qualifications :

(ref : hirist.tech)