> Markdown version of [/jobs/ext/4717842-dot-net-full-stack-technical-lead-with-ai](https://www.wearedevelopers.com/jobs/ext/4717842-dot-net-full-stack-technical-lead-with-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Dot Net Full Stack Technical Lead with AI

- **Company:** Nityo Infotech Corporation
- **Location:** Warren, NJ, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** .NET Framework, Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Automation of Tests, Unit Testing, C Sharp (Programming Language), Cloud Computing, Static Program Analysis, Code Generation, Code Review, Continuous Integration, Software Debugging, Software Design Patterns, DevOps, Web Applications, Enterprise Data Management, Enterprise Software Applications, .NET Core, GitHub Copilot, ReactJS, Large Language Models, Software Security, Backend, AngularJS, Front End Software Development, Claude, Restful APIs, Code Restructuring, Web Api, Microservices
- **Published:** November 14, 2026
- **Apply:** https://www.dice.com/job-detail/6ab53a99-9809-4816-8764-00bc64bad19f

## About the Role

Backend

 * Strong hands-on experience with C# and .NET/.NET Core
 * Core / Web API
 * RESTful services and microservices
 * Strong experience designing scalable backend services, APIs, and integration layers

Frontend

 * Strong hands-on development experience with Angular and/or React
 * Experience developing modern, scalable enterprise web applications
 * Strong understanding of reusable components and maintainable application architecture

Architecture & Engineering

 * Strong understanding of clean architecture and design patterns
 * Experience building reusable and maintainable enterprise application components
 * Strong knowledge of application security, testing, quality engineering, and deployment
 * Ability to lead architecture decisions, code reviews, and engineering best practices
 * Hands-on experience troubleshooting complex production issues

DevOps & Cloud-Native Engineering

 * Experience with CI/CD
 * Automated testing
 * Observability
 * Cloud-native development practices

GenAI / AI-Assisted Development

 * Hands-on exposure to Claude and/or GitHub Copilot
 * Experience using GenAI coding assistants for coding, refactoring, unit testing, documentation, debugging, and code analysis
 * Experience building or integrating LLM/GenAI-powered capabilities through APIs
 * Understanding of appropriate LLM orchestration patterns
 * Experience implementing guardrails around AI-generated code, including code review, testing, security validation, and responsible enterprise data handling

Leadership & Collaboration

 * Strong technical leadership with the ability to guide and mentor development teams.
 * Ability to work closely with architects, product owners, DevOps, QA, security teams, and business stakeholders.
 * Ability to balance hands-on development with architecture and technical leadership responsibilities.
 * Drive high engineering standards across development, testing, security, deployment, and maintainability.

## Description

* Lead the design and development of enterprise-grade full-stack applications using C#, .NET/.NET Core, REST APIs, and Angular or React.
 * Provide technical leadership across architecture, development, code reviews, quality engineering, and deployment.
 * Design scalable backend services, APIs, integration layers, and modern web applications.
 * Establish engineering standards around clean architecture, design patterns, reusable components, security, testing, and maintainability.
 * Provide hands-on technical guidance to developers and troubleshoot complex production issues.
 * Leverage Claude, GitHub Copilot, and other GenAI coding assistants to improve developer productivity across coding, refactoring, unit testing, documentation, debugging, and code analysis.
 * Build or integrate LLM/GenAI-powered application capabilities using APIs and appropriate orchestration patterns.
 * Develop appropriate guardrails around AI-generated code, including review, testing, security validation, and responsible handling of enterprise data.
 * Collaborate with architects, product owners, DevOps, QA, security, and business stakeholders.
 * Drive CI/CD, automated testing, observability, and cloud-native development practices.