Description

You will design, develop, and support Generative AI applications, translating support issues into technical designs.

This role is hybrid.

Responsibilities

• Develop GenAI solutions and integrations, including model deployment and data integration.
• Implement and maintain RAG-based solutions with vector stores, chunking strategies, and semantic search.
• Design core GenAI services, including LLM orchestration and tool/function calling logic.
• Write and maintain clean, modular Python code for LLM integration and agent design.
• Handle production support, incident resolution, and root cause analysis.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python for GenAI application development.
• Experience with Gen AI Frameworks and Semantic Kernel.
• Knowledge of LLM Orchestration principles.
• Experience implementing RAG patterns with vector stores.
• Familiarity with Azure AI Search.

Preferred Skills

• Experience with Java in AI contexts.

Key Skills

Education

Any Graduate