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Software Engineer Two Full Stack Jobs in Charlotte, NC

Description TGS Technology LLC is seeking a Full Stack .NET Developer to support the development ... The position involves implementing and supporting software components across the application stack ...

Join our mission to transform our nation's healthcare system as a Full Stack Software Developer. In this role, you'll contribute to building and enhancing our web-based enterprise health platform.

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Software Engineer Two Full Stack information

See Charlotte, NC salary details

$43.5K

$131.6K

$186.1K

How much do software engineer two full stack jobs pay per year?

As of Aug 23, 2026, the average yearly pay for software engineer two full stack in Charlotte, NC is $131,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $154,300.00 per year, depending on experience, location, and employer.

What job categories do people searching Software Engineer Two Full Stack jobs in Charlotte, NC look for?

The top searched job categories for Software Engineer Two Full Stack jobs in Charlotte, NC are:

Infographic showing various Software Engineer Two Full Stack job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $131,633 per year, or $63.3 per hour.

Sr .Net Full Stack/AI Engineer

Accord Technologies Inc.

Charlotte, NC • On-site

Contractor

Re-posted 10 hours ago


Job description

Sr .Net Full Stack/AI Engineer 
Charlotte, NC (Need Onsite day 1, hybrid 3 days from office)
Position type: W2 contract only

 
Job Description:
We are seeking a highly skilled .NET Developer with strong experience in Angular and Artificial Intelligence (AI) to join our development team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications using .NET technologies and Angular, while also integrating AI-driven features and intelligent automation solutions into business applications. This role requires a combination of backend, frontend, and AI knowledge to deliver modern, high-performance software solutions.
The Role
Responsibilities:
  • Design, develop, test, and maintain web applications using .NET / .NET Core / ASP.NET MVC / Web API
  • Build responsive and interactive user interfaces using Angular
  • Develop and consume RESTful APIs and integrate third-party services
  • Collaborate with cross-functional teams including UI/UX designers, product managers, and QA engineers
  • Integrate AI/ML models, APIs, or intelligent services into enterprise applications
  • Work on features such as chatbots, recommendation systems, predictive analytics, NLP integrations, or automation tools
  • Optimize applications for maximum speed, scalability, and security
  • Write clean, reusable, and efficient code following best practices
  • Troubleshoot, debug, and upgrade existing systems
  • Participate in code reviews, architecture discussions, and technical documentation
  • Ensure software quality through unit testing, integration testing, and performance tuning
  • Stay updated with emerging technologies in Microsoft stack, Angular ecosystem, and AI tools/frameworks
Requirements:
  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field
  • Proven experience as a .NET Developer or Full Stack Developer
  • Strong hands-on experience with:
    • C#
    • .NET / .NET Core / ASP.NET
    • Angular
    • HTML5, CSS3, JavaScript, TypeScript
    • SQL Server or other relational databases
  • Experience in developing and integrating Web APIs
  • Knowledge of Entity Framework, LINQ, and ORM tools
  • Familiarity with Git, Azure DevOps, or other version control / CI-CD tools
  • Understanding of software development lifecycle and agile methodologies
  • Experience working with Artificial Intelligence / Machine Learning solutions
  • Knowledge of AI-related tools, frameworks, or services such as:
    • Azure AI Services
    • OpenAI APIs
    • ML.NET
    • Python for AI integration (preferred but not mandatory)
    • Natural Language Processing (NLP) or chatbot frameworks
  • Experience deploying applications on Azure or other cloud platforms
  • Familiarity with microservices architecture and containerization tools like Docker
  • Understanding of authentication/authorization mechanisms such as JWT, OAuth
  • Exposure to modern DevOps practices