Note: The job is a remote job and is open to candidates in USA. Libra Solutions is a company focused on enhancing legal processes through technical innovation. The Manager, AI-Native Software Engineering will lead a team of engineers to build and maintain software platforms, ensuring high-quality delivery and fostering AI-native capabilities within the team.
Responsibilities
- Manage, mentor, and develop a team of software engineers across all experience levels
- Conduct regular 1:1s, provide timely and constructive feedback, and support each engineer’s professional growth and career development
- Partner with recruiting to grow the team by attracting and hiring engineers aligned with the team’s AI-native technical direction
- Set clear expectations, foster accountability, and build a culture of trust, collaboration, and continuous improvement
- Address performance issues constructively and proactively
- Own the team’s delivery commitments; ensure features, bug fixes, and technical investments are completed on time and meet quality standards
- Participate in sprint planning, backlog refinement, and prioritization discussions with Product and stakeholders
- Remove blockers, manage dependencies, and ensure the team has what it needs to execute effectively
- Monitor and continuously improve team velocity, predictability, and delivery health within the agentic pod model
- Maintain strong technical engagement: participate in architecture discussions, code reviews, and technical planning
- Ensure the team adheres to engineering standards for C# / .NET, API design, database patterns, front-end development, and CI/CD using Azure DevOps
- Identify and address technical debt; champion sustainable engineering practices
- Drive adoption and effective use of AI-assisted development tools (GitHub Copilot, Claude, Azure OpenAI) across the team; ensure engineers are working in an agentic delivery rhythm where AI handles generation at scale and engineers own judgment, quality, and architectural decisions
- Partner with other engineering leaders to define and uphold organizational AI development standards, prompt engineering practices, and AI output review requirements
- Track and evaluate team-level engineering metrics, including sprint velocity and predictability, CI/CD pipeline health, production incidents, defect backlog trends, and system performance data to identify systemic issues and drive continuous improvement
- Use data to communicate engineering health, technical decisions, tradeoffs, and statuses clearly to stakeholders and leadership
- Contribute to engineering-wide initiatives including hiring practices, standards, tooling, and process improvement
Skills
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent professional experience
- 7+ years of professional software development experience
- 2+ years of people management or team leadership experience
- Strong hands-on background in C# / ASP.NET Core, Entity Framework Core, SQL Server / Azure SQL, and React or Angular
- Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployment practices on Azure
- Experience partnering closely with engineering, product, and business stakeholders in an agile delivery environment
- Demonstrated ability to lead, develop, and retain a high-performing engineering team
- Strong problem-solving, communication, organizational, and coaching skills
- Hands-on familiarity with AI-assisted development tooling (GitHub Copilot, Claude, Azure OpenAI) and a demonstrated commitment to building AI-native engineering practices; able to coach engineers on effective prompt engineering, AI output evaluation, and responsible AI use
- Experience leading teams within agentic or AI-accelerated delivery models, or a clear understanding of how agentic workflows change team rhythms, role expectations, and quality ownership
Benefits
- Medical, dental, vision and life insurance plans
- 401k match
- Paid time off
Company Overview