- Design, build, and deploy production AI applications using Python and Azure.
- Build LLM-powered applications using prompt engineering, model integrations, tool calling, and AI workflows.
- Design and implement RAG solutions using embeddings, vector search, retrieval, knowledge grounding, and evaluation.
- Integrate AI applications with enterprise platforms, external APIs, databases, and Microsoft 365.
- Build scalable backend services, APIs, data models, and application integrations.
- Develop agentic AI workflows using tools such as MCP and multi-agent patterns where appropriate.
- Partner with business and technical stakeholders to turn ambiguous requirements into production solutions.
- Apply strong engineering practices around testing, security, observability, scalability, and performance.
PythonSQLMicrosoft Azure+2 more