AI-Native Software Engineer

Valsoft Corporation

About The Position

We are hiring an AI-native software engineer who treats large language models, copilots, and agentic workflows as core parts of their development environment, not optional add-ons. You will design, build, and refactor production systems in .NET/C#, while using the latest AI tooling to dramatically increase speed, quality, and leverage. You are not just a developer. You are an architect, systems thinker, and automation builder. What “AI-Native” Means Here This is not just “comfortable with GitHub Copilot/Claude Code/Codex.” You: Use AI daily to generate, refactor, test, document, and review code. Build internal AI agents and workflows to automate repetitive engineering tasks. Design systems assuming AI components will exist in the architecture. Know when AI is wrong - and can spot hallucinations instantly. Continuously experiment with new tools and replace old workflows aggressively.

Requirements

Core Stack
Strong experience with:
.NET
C#
ASP.NET Core / .NET Web APIs
Solid understanding of:
Entity Framework / ORM patterns
SQL and database design
Clean architecture principles
Dependency injection
Testing frameworks (xUnit, NUnit, etc.)
Cloud & DevOps
Azure experience preferred
CI/CD pipelines
Infrastructure as Code familiarity
Observability (logging, tracing, monitoring)
AI & Automation
Hands-on experience with:
LLM APIs
Code copilots and AI IDE tooling
Prompt engineering for engineering workflows
Experience building:
AI-assisted tools
Internal bots or automation agents
Understanding of:
Model limitations
Cost-performance trade-offs
Guardrails and reliability
Technical Depth
You can:
Read a 200k+ LOC codebase and map it quickly
Identify architectural rot fast
Make systems simpler, not more complex
Speed with Judgment
You move fast but you don't create messes others have to clean up.
AI Skeptic + Optimist
You:
Aggressively use AI
But never blindly trust it
Know how to validate outputs
Treat AI as a junior developer that needs supervision
Builder Mentality
You don't wait for perfect specs. You prototype, validate, iterate.

Nice To Haves

Experience modernizing legacy .NET Framework systems
Experience integrating AI into enterprise workflows
Background in regulated or compliance-heavy industries
Frontend experience (React/Blazor) a plus but not mandatory

Responsibilities

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.