Senior Software Engineer / Tech Lead (AI tools/.NET/C#/React)

Trigyn offers a hybrid, New York, NY based contract opportunity for a Senior Software Engineer / Tech Lead focused on AI-assisted development and modernization of public-facing applications built with .NET, C#, and React. This 4-6 month engagement places you at the center of cross-functional delivery, guiding architecture decisions and elevating code quality. Local candidates are preferred.

What you'll do

• Lead one or more cross-functional development teams as the technical owner of architecture, code quality standards, and delivery outcomes
• Translate business and program requirements from stakeholders into scalable, maintainable technical solutions
• Lead system design reviews, define technical standards, and establish best practices across the team
• Collaborate with the Senior Manager to inform roadmap prioritization, resource planning, and technical risk assessment
• Act as a subject matter expert and escalation point for complex engineering challenges across the portfolio
• Design, develop, and maintain features across .NET/C#, Java, and React-based applications in web and mobile contexts
• Drive the modernization of legacy systems by refactoring aging codebases, improving performance, and introducing contemporary patterns (REST APIs, microservices, component-based front ends) using AI-assisted development workflows
• Build and maintain RESTful APIs and integrate with internal data systems, third-party services, and city agency platforms
• Ensure all applications meet security, accessibility (WCAG), and compliance standards appropriate for a public-sector environment
• Contribute to mobile development efforts supporting the iOS and Android applications
• Champion the adoption of AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code, or similar) to increase team velocity and reduce technical debt remediation timelines
• Develop and refine internal AI-augmented workflows for code generation, automated testing, documentation, and legacy code analysis
• Evaluate and implement LLM-based capabilities where appropriate within applications (e.g., intelligent search, automated summarization, chatbot interfaces for resident-facing features)
• Stay current on AI/ML tooling trends and serve as an internal resource for responsible and effective AI usage in software development
• Mentor mid-level and junior engineers through code reviews, pairing sessions, design discussions, and direct feedback
• Foster a collaborative team culture that values craft, continuous learning, and inclusive problem-solving

Technologies

• .NET, C#, Java, React
• RESTful APIs, microservices
• iOS, Android
• GitHub Copilot, Cursor, Claude Code