1) Programming & Engineering Excellence
- Python (advanced), APIs, pipelines, and AI orchestration
2) LLM & GenAI Engineering
- Hands-on experience with LLMs (preferably GPT models)
- Model evaluation including accuracy/faithfulness checks, hallucination mitigation, regression testing
- Safety/guardrails patterns appropriate for enterprise use
3) Demonstrated ability to leverage GitHub Copilot for code acceleration:
- Rapid scaffolding of code, services, APIs, and development
3) Data Skills — SQL + SQL Server, Microsoft Fabric(optional)
- Ability to design data access patterns for AI
4) LLM & GenAI Engineering
- Hands-on experience with LLMs (commercial)
- Strong experience implementing RAG architecture with ingestion pipelines, chunking strategies
- Vector database / vector search experience with Indexing, similarity search, metadata filtering
- Experience with MCP patterns, Standardizing tool/context access for models and agent runtimes
- Designing MCP servers/tool endpoints and integrating them into LLM apps
