- Advanced proficiency in Python and hands-on experience building LLM applications, RAG pipelines, and agentic systems.
- Direct experience with modern LLM frameworks, specifically LangChain and LangGraph, along with prompt and context engineering techniques.
- Strong experience with Microsoft Azure cloud services, Azure OpenAI Service, cloud deployments, and enterprise AI architecture.
- Solid understanding of data architecture principles, vector stores, enterprise data platforms, and data integration patterns.
- Familiarity with evaluating AI agent accuracy, latency tuning, context window optimization, and cost efficiency metrics.
,[Design and implement autonomous AI agents and complex agentic workflows tailored to specific enterprise business use cases., Develop AI applications using Python and modern LLM frameworks such as LangChain and LangGraph., Design RAG-based architectures that leverage centralized enterprise data from the Unified Data Platform., Implement, deploy, and scale production-ready AI solutions on Microsoft Azure and Azure OpenAI Service., Optimize AI agent performance, refine evaluation metrics, manage context efficiency, and control cloud operational costs., Partner with data engineering and architecture teams to ensure seamless integration, high scalability, and security compliance.] Requirements: Azure, AI, Python, LLM