Software Engineer, AI-Native

Libra Solutions•Las Vegas, NV

3h•Hybrid

About The Position

The Software Engineer, AI-Native is a core contributor on the software engineering team, responsible for designing, building, and maintaining features across Libra Solutions’ platforms. This role requires practical full-stack / full-lifecycle experience, a solid understanding of modern software engineering practices, and the ability to work effectively within an agentic delivery model where AI agents participate directly in the SDLC alongside human engineers. This position reports to the Manager, Software Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL, or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience
2+ years of professional software development experience
Proficiency in C# and ASP.NET Core for back-end development
Experience with SQL Server or Azure SQL and Entity Framework Core
Working knowledge of React or Angular for front-end development
Experience with Git-based source control, pull request workflows, and Azure DevOps
Familiarity with CI/CD practices and agile delivery environments
Hands-on experience with AI coding assistants (GitHub Copilot, Cursor) and general-purpose LLMs (Claude, ChatGPT, Azure OpenAI) for code generation, documentation, and technical exploration
Ability to write structured, context-rich prompts for AI coding tools to produce targeted output; habit of iterating on prompts to improve output quality
Consistent practice of critically evaluating AI-generated code for correctness, security risks, and alignment with team architecture and coding standards before committing
Foundational understanding of agentic development workflows: comfortable contributing in a pod model where AI agents participate in code generation and test scaffolding, able to scope generation tasks effectively and take full ownership of reviewing, integrating, and improving AI-generated output
Creative problem-solving and troubleshooting skills
Self-motivated, collaborative, and detail-oriented with strong communication workflows
Must be authorized to work in the U.S

Responsibilities

Design and implement full-stack features using C# / ASP.NET Core, Entity Framework Core, and SQL Server / Azure SQL for back-end services, and React or Angular for front-end applications
Write well-tested, maintainable code with unit and integration tests
Participate actively in code reviews, providing and incorporating constructive feedback
Contribute to Azure DevOps CI/CD pipelines and deployment workflows
Troubleshoot and resolve production issues in a timely manner
Use AI-assisted development tools (GitHub Copilot, Claude) with structured, context-rich prompts to accelerate coding, test coverage, and documentation
Critically evaluate all AI-generated output before committing — review for correctness, security risks, and alignment with team architecture and coding standards
Work within Libra’s agentic engineering model: AI agents handle code generation at scale; engineers own the judgment, quality bar, and architectural decisions on everything that ships
Collaborate with Product, QE, business stakeholders, and peers to deliver features that meet acceptance criteria and quality standards
Partner with offshore developers on the squad to scope tasks clearly, provide code review feedback, and maintain shared quality standards