AI Engineer with Java

Specialized role focused on supporting, designing, developing GenAI applications. Provides high touch service to Hanover users regarding changes in-scope of the support services. Supports the GenAI applications including model deployment, configuration, data integration, architecture support, prompt engineering, issue resolution, and regression testing. Translates support issues into designs and develops the GenAI solutions, integrations, and prompt engineering. Utilizes core development skills in tools such as python, API builds and integrations, Gen AI patterns such as RAG and others, Azure cloud services and is responsible for delivering upon the design. Have working knowledge of Gen AI frameworks (Ie. Semantic kernel) Alternate between core development of GenAI services (e.g., LLM orchestration, embedding optimization, tool/function calling logic) and support of production GenAI applications (e.g., incident resolution, service monitoring, and root cause analysis for production deployments) Implement, and support RAG-based GenAI solutions integrating vector stores, chunking strategies, prompt pipelines, and semantic search frameworks (e.g., Semantic Kernel, Azure AI Search) Write and maintain clean, modular Python code for GenAI application such as LLM integration, data preprocessing, and tool-based agent design.