Architect and Build Scalable Systems
Design and implement high-quality backend systems in .NET and C#.
Build modular, testable, maintainable architectures.
Make sound trade-offs between performance, maintainability, and speed of delivery.
Refactor legacy systems intelligently (not cosmetically).
Leverage AI Across the SDLC
Use LLMs and code-generation tools to:
Draft and refactor production code
Generate unit/integration tests
Create migration scripts
Perform static analysis and code reviews
Produce technical documentation
Build internal AI assistants for:
Log analysis
Support ticket triage
Codebase navigation
Technical debt discovery
Continuously optimize development workflows using AI.
Own Architecture Decisions
Design APIs (REST, event-driven, microservices where appropriate).
Work with cloud-native patterns (Azure preferred).
Integrate AI services into production systems.
Evaluate when to build vs. buy vs. automate.
Raise the Bar
Set standards for AI-assisted development.
Mentor other engineers in AI-native workflows.
Push for measurable productivity gains.
Eliminate manual processes wherever possible.

AI-Native Software Engineer

Key skills