Dot Net Full Stack Technical Lead (AI)

Quick Facts

• Role: Dot Net Full Stack Technical Lead (AI)

Description

Lead the design and development of enterprise full-stack applications using C#/.NET and modern front-end frameworks. Provide technical leadership across architecture, development, code reviews, quality engineering, and deployment, while integrating LLM/GenAI capabilities using APIs and orchestration patterns. Leverage Claude and GitHub Copilot to improve productivity and implement guardrails for secure, testable, and responsible AI-assisted development.

Responsibilities

• Lead design and development of enterprise-grade full-stack applications (C#, .NET/.NET Core, REST APIs, 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 for clean architecture, design patterns, reusable components, security, testing, and maintainability

• Provide hands-on technical guidance and troubleshoot complex production issues

• Use Claude, GitHub Copilot, and other GenAI coding assistants for coding, refactoring, unit testing, documentation, debugging, and code analysis

• Build or integrate LLM/GenAI-powered application capabilities via APIs and orchestration patterns

• Develop guardrails for AI-generated code: 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

Requirements

• Strong hands-on experience with C# and .NET/.NET Core

• Strong RESTful services and microservices experience, including scalable backend services, APIs, and integration layers

• Strong hands-on frontend development with Angular and/or React

• Modern, scalable enterprise web application development experience

• Strong understanding of reusable components and maintainable architecture

• Strong clean architecture and design patterns knowledge

• Experience building reusable, 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 troubleshooting experience for complex production issues

• Experience with CI/CD, automated testing, observability, and cloud-native practices

• Hands-on exposure to Claude and/or GitHub Copilot and experience using GenAI coding assistants for development tasks

• Experience building or integrating LLM/GenAI-powered capabilities through APIs

• Understanding of LLM orchestration patterns

• Experience implementing guardrails around AI-generated code, including review, testing, security validation, and responsible enterprise data handling

• Strong technical leadership and mentoring ability; collaboration across engineering and business teams

Benefits

Not specified in the source text.