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Full Stack Development Jobs in Charlotte, NC (NOW HIRING)

GlobalPoint

Java Full Stack Developer

Charlotte, NC · On-site

$51.25 - $66.25/hr

Java Full Stack Developer Location: Charlotte NC We can sponcer H1 Transfer for this role Job ... Contribute to Agile/Scrum development processes and work in a team-oriented environment.

Select Minds LLC

Full Stack Java Developer

Charlotte, NC · On-site

$60 - $65/hr

Full Stack Java Developer Experience : 10+ years Location: Charlotte, NC Work Mode: Onsite (Monday ... Solid understanding of RESTful API development and integration * Knowledge of secure coding ...

Apex Systems

Full Stack Developer

Charlotte, NC · On-site

Job#: 3040995 Full Stack Developer Location: Charlotte, North Carolina (Onsite) Role Overview We ... Java, Spring Boot, and RESTful web API design and development. * Experience with modern application ...

Savvyan Technologies

Full Stack Engineer

Charlotte, NC · On-site

Dallas/ Charlotte/ Virginia Job Summary We are looking for a Full Stack Engineer to build highly ... Utilize AI-assisted development platforms including GitHub Copilot and Devin. * Participate in ...

CapTech Consulting

Full-Stack Engineer

Charlotte, NC · On-site

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Strong background in database design and development, including SQL Server and NoSQL technologies ...

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Showing results 41-60

All JobsFull Stack Development JobsFull Stack Development Jobs in Charlotte, NC

Full Stack Development information

See Charlotte, NC salary details

$23

$57

$84

How much do full stack development jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for full stack development in Charlotte, NC is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $66.68 per hour, depending on experience, location, and employer.

What is the difference between Full Stack Development vs Front End Development?

AspectFull Stack DevelopmentFront End Development
Primary FocusBoth client-side and server-side developmentClient-side (user interface and experience)
Required SkillsHTML, CSS, JavaScript, backend languages (e.g., Node.js, Python), databasesHTML, CSS, JavaScript, frameworks like React or Angular
Work EnvironmentInvolves working on entire application stack, often in full project rolesFocuses on designing and implementing user interfaces
Common UsageDeveloping complete web applicationsEnhancing user experience and interface design

Full Stack Developers have a broader skill set covering both front-end and back-end development, enabling them to build complete applications. Front End Developers specialize in creating engaging user interfaces. While both roles require knowledge of HTML, CSS, and JavaScript, Full Stack Developers also work with server-side technologies and databases, making them versatile in full project development.

What cities near Charlotte, NC are hiring for Full Stack Development jobs?

Cities near Charlotte, NC with the most Full Stack Development job openings:

Full Stack Development jobs near you
Infographic showing various Full Stack Development job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $120,392 per year, or $57.9 per hour.

Lead Software Engineer - Full Stack & Agentic AI

Realtech Services

Charlotte, NC • On-site

Contractor

Posted 16 days ago

Job description


Title - Lead Software Engineer – Full Stack & Agentic AI

Location:  Charlotte, NC (Day 1 Onsite)

Experience – 10 + Years

Position Summary:

We are seeking a highly skilled and innovative Lead Software Engineer to drive the design, development, and delivery of next-generation intelligent applications powered by Agentic AI. This role combines deep expertise in full-stack software engineering with hands-on experience building AI-powered systems, autonomous agents, Retrieval-Augmented Generation (RAG) architectures, and enterprise-scale AI solutions.

As a technical leader, you will define architecture, establish engineering standards, mentor development teams, and guide the implementation of AI-driven solutions that deliver measurable business value. You will work across the entire software development lifecycle, from requirements analysis and architecture design through implementation, deployment, and production support.

The ideal candidate possesses strong software engineering fundamentals, extensive experience with modern web technologies, and a proven track record designing and implementing Agentic AI platforms, intelligent workflows, and AI-enabled business solutions.

Key Responsibilities

Technical Leadership

  • Lead architecture, design, and development of enterprise-grade applications and AI-enabled platforms.
  • Serve as the technical lead for complex modernization, automation, and digital transformation initiatives.
  • Drive engineering best practices, code quality standards, security requirements, and architectural governance.
  • Mentor and coach software engineers, promoting technical excellence and continuous learning.
  • Conduct design reviews, architecture reviews, and critical code reviews.

Full Stack Development

  • Design and develop scalable backend services using Java Spring Boot and Python.
  • Build modern, responsive web applications using Angular and React.
  • Develop and maintain RESTful APIs, microservices, and event-driven architectures.
  • Integrate applications with cloud services, external APIs, and enterprise systems.
  • Design and optimize relational database solutions using SQL Server and Oracle.

Agentic AI Solution Development

  • Design and implement Agentic AI architectures capable of reasoning, planning, tool usage, memory management, and autonomous execution.
  • Build intelligent agents leveraging Large Language Models (LLMs), multi-agent orchestration, and AI workflow automation.
  • Develop Retrieval-Augmented Generation (RAG) solutions utilizing vector databases, semantic search, embeddings, and knowledge repositories.
  • Create prompt engineering frameworks, reusable prompt libraries, and evaluation methodologies.
  • Design AI evaluation, monitoring, observability, and feedback mechanisms to ensure solution quality and reliability.
  • Collaborate with business stakeholders to identify AI opportunities and translate them into production-ready solutions.
  • Implement responsible AI practices, including guardrails, security controls, and human-in-the-loop workflows.

Data and AI Engineering

  • Design and implement semantic data repositories, knowledge graphs, and business metadata frameworks.
  • Develop AI-powered solutions that leverage structured and unstructured enterprise data.
  • Optimize AI retrieval pipelines for performance, scalability, and accuracy.
  • Support data quality, lineage, governance, and metadata management initiatives.
  • Build scalable vector search solutions and AI-powered knowledge management platforms.

DevOps & Platform Engineering

  • Design and support CI/CD pipelines and automated deployment strategies.
  • Implement testing frameworks, including unit, integration, performance, and AI evaluation testing.
  • Partner with platform and infrastructure teams to deploy scalable cloud-native applications.
  • Monitor production systems and establish operational excellence practices.

Required Qualifications

Experience

  • 8+ years of professional software engineering experience.
  • 3+ years leading technical teams or serving as a lead engineer.
  • 2+ years designing and implementing Generative AI or Agentic AI solutions in enterprise environments.
  • Demonstrated experience delivering large-scale enterprise applications from inception through production.

Technical Skills

Programming Languages

  • Advanced Python development
  • Advanced Java (Spring Boot)
  • Strong SQL development

Front-End Technologies

  • Advanced Angular
  • Advanced React
  • TypeScript
  • HTML5, CSS3, JavaScript

Databases

  • SQL Server
  • Oracle Database
  • Experience with database design, performance tuning, and optimization

AI & Machine Learning

  • Large Language Models (LLMs)
  • Agentic AI architecture and implementation
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases (e.g., Pinecone, Weaviate, Chroma, Milvus, Azure AI Search)
  • Embedding models
  • Semantic search
  • AI evaluation frameworks
  • Multi-agent orchestration

Cloud & DevOps

  • Azure, AWS, or Google Cloud
  • Docker
  • Kubernetes
  • GitHub Actions / CI-CD pipelines
  • Infrastructure as Code

Architecture

  • Microservices architecture
  • Event-driven architecture
  • API design and integration
  • Distributed systems
  • Domain-driven design

Preferred Qualifications

  • Experience building enterprise AI platforms and AI governance frameworks.
  • Experience with Microsoft Copilot Studio, Azure AI Foundry, LangChain, LangGraph, or similar agent frameworks.
  • Experience designing knowledge graphs and semantic data models.
  • Experience implementing AI observability, evaluation, and monitoring solutions.
  • Experience with modernization and legacy transformation initiatives.
  • Experience with GitHub Copilot, AI-assisted software development, and automated code generation workflows.
  • Exposure to machine learning operations (MLOps) and AI Operations (AIOps).

Leadership Competencies

  • Strong strategic and systems-thinking mindset.
  • Ability to translate business challenges into scalable technical solutions.
  • Excellent communication and stakeholder management skills.
  • Proven ability to influence architecture and engineering decisions across teams.
  • Strong mentoring and coaching capabilities.
  • Passion for innovation, emerging technologies, and AI-enabled transformation.