Senior Java Full Stack Engineer

Location: Charlotte, NC
Employment Type: Full Time
Interview: Face-to-Face (F2F) Interview Mandatory
Candidate Requirement: Local candidates only

Job Summary

We are seeking a highly experienced Senior Java Full Stack Engineer to design, develop, and deliver enterprise-grade applications while bringing Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) capabilities into production.

The ideal candidate will have strong hands-on expertise in Java, Spring Boot, REST APIs, microservices, Angular, and enterprise application development, combined with practical experience building and integrating AI agents, LLM applications, RAG solutions, and AI-assisted software development using GitHub Copilot.

The candidate should also have a strong security-first mindset with hands-on experience identifying, remediating, and preventing application vulnerabilities in enterprise and regulated environments.

Must-Have Technical Skills

Java / Backend Development

• Strong hands-on experience with Java / Java 8+ / Java 17+.

• Strong expertise in Spring Framework and Spring Boot.

• Experience designing and developing RESTful APIs.

• Strong experience with Microservices Architecture.

• Experience with enterprise application development and distributed systems.

• Strong understanding of:

  • Object-Oriented Programming

  • Java Collections

  • Multithreading / Concurrency

  • Exception Handling

  • Design Patterns

  • Data Structures and Algorithms

  • SOLID principles

• Experience with API integration and enterprise application services.

Front-End Development

• Strong hands-on experience with Angular.

• Experience developing responsive and scalable enterprise web applications.

• Strong knowledge of:

  • TypeScript

  • JavaScript

  • HTML5

  • CSS3

  • Angular Components

  • Services

  • Routing

  • Forms

  • REST API integration

• Experience integrating Angular applications with Java/Spring Boot backend services.

Agentic AI & Generative AI

• Hands-on experience building or integrating AI agents / Agentic AI solutions.

• Experience bringing AI-powered solutions into production environments.

• Strong understanding of:

  • Large Language Models (LLMs)

  • Generative AI

  • AI Agents

  • Agentic Workflows

  • Prompt Engineering

  • Tool Calling

  • AI Orchestration

• Experience developing Retrieval-Augmented Generation (RAG) solutions.

• Understanding of:

  • Embeddings

  • Vector Databases

  • Semantic Search

  • Document Retrieval

  • Context Management

  • LLM Integration

• Experience integrating enterprise applications with AI/LLM services and APIs.

• Knowledge of frameworks such as LangChain, LangGraph, LlamaIndex, Spring AI, or similar is a plus.

• Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic, or other LLM platforms is preferred.

AI-Assisted Development

• Hands-on experience using GitHub Copilot or similar AI coding assistants.

• Experience applying AI-assisted development to:

  • Code generation

  • Refactoring

  • Unit test creation

  • Documentation

  • Debugging

  • Code review

• Understanding of responsible and secure use of AI coding tools within enterprise development environments.

Application Security

• Strong security-first development mindset.

• Hands-on experience identifying and remediating application vulnerabilities.

• Knowledge of OWASP Top 10 and secure coding practices.

• Experience with:

  • Authentication

  • Authorization

  • Secure API design

  • Input validation

  • Secure session management

  • Data protection

  • Encryption

  • Vulnerability remediation

• Experience working with application security tools and vulnerability scanning is preferred.

• Ability to analyze security findings and work with development/security teams to remediate vulnerabilities.

• Experience securing Java/Spring Boot and Angular applications.

• Experience working in regulated or security-sensitive enterprise environments is a strong plus.

Key Responsibilities

• Design, develop, test, deploy, and support enterprise-grade Java full stack applications.

• Develop scalable backend services using Java, Spring Boot, REST APIs, and microservices.

• Develop modern front-end applications using Angular, TypeScript, JavaScript, HTML, and CSS.

• Design and implement secure APIs and integrations between front-end, backend, databases, and enterprise systems.

• Build and integrate AI agents and Agentic AI capabilities into enterprise applications.

• Design and implement RAG-based applications using LLMs, embeddings, vector search, and enterprise data sources.

• Integrate LLM and AI services into production applications while considering scalability, reliability, security, and cost.

• Develop AI-powered workflows and intelligent automation solutions.

• Use GitHub Copilot and other AI-assisted development tools to improve engineering productivity and software quality.

• Evaluate emerging AI technologies and identify opportunities to apply them to enterprise applications.

• Implement unit, integration, API, and automated tests.

• Troubleshoot application issues and perform root-cause analysis.

• Identify and remediate application security vulnerabilities.

• Participate in architecture and technical design discussions.

• Perform code reviews and ensure adherence to enterprise coding and security standards.

• Collaborate with architects, product owners, business analysts, QA engineers, DevOps teams, and security teams.

• Mentor junior developers and provide technical guidance.

• Support production deployments, incident resolution, performance optimization, and application modernization.

AI / Full Stack Technology Stack

Backend: Java, Java 8+, Java 17+, Spring, Spring Boot, REST APIs, Microservices

Frontend: Angular, TypeScript, JavaScript, HTML5, CSS3

AI / GenAI: Generative AI, Agentic AI, AI Agents, LLMs, RAG, Prompt Engineering, Tool Calling, Embeddings, Vector Search, Semantic Search

AI Frameworks: LangChain, LangGraph, LlamaIndex, Spring AI

LLM Platforms: OpenAI, Azure OpenAI, AWS Bedrock, Anthropic

AI Development: GitHub Copilot, AI-Assisted Development, AI Coding, Code Generation, AI Testing

Security: OWASP, Secure Coding, Application Security, API Security, Authentication, Authorization, Vulnerability Management

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.

• 8+ years of software engineering experience preferred.

• Strong experience in enterprise Java development.

• Experience with Spring AI or similar Java-based GenAI frameworks.

• Experience with LangChain, LangGraph, LlamaIndex, or other agentic AI frameworks.

• Experience with vector databases such as Pinecone, FAISS, Weaviate, Azure AI Search, or similar.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Experience with Docker and Kubernetes.

• Experience with CI/CD and DevOps practices.

• Experience with automated testing and quality engineering.

• Experience working in financial services, banking, healthcare, or other regulated industries is a plus.

Professional & Leadership Skills

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration abilities.

• Ability to work effectively with technical and business stakeholders.

• Strong ownership and accountability for production applications.

• Ability to work in an Agile/Scrum environment.

• Strong mentoring and technical leadership capabilities.

• Ability to balance application delivery, AI innovation, performance, and security.

Candidate Requirements

• Local candidates in the Charlotte, NC area only.

• Face-to-Face interview is mandatory.

• Candidates must be comfortable working in a collaborative enterprise development environment.

• Strong hands-on coding experience is required; this is not a purely architectural or managerial role.

Ideal Candidate Profile

The ideal candidate is a Senior Java Full Stack Engineer / Java Full Stack Developer who combines:

Java + Spring Boot + Microservices + Angular + REST APIs + Agentic AI + RAG + LLMs + GitHub Copilot + Application Security

The candidate should have a strong hands-on development background and be capable of taking AI-enabled enterprise applications from:

Design → Development → AI Integration → Testing → Security → Deployment → Production Support