Mid- Senior Full Stack Developer - Java Total Technologies and Solutions FZ LLC

Full Stack & Enterprise Application Development

• Design and develop enterprise-grade full stack applications using:

  • Java JDK 20/22

  • Jersey or Spring Framework for API services

  • Angular 19/22 for frontend UI development

• Develop scalable, secure, and high-performance REST APIs

• Implement ORM-based persistence using Hibernate / Spring Data JPA

Middleware & Event-Driven Architecture

• Design and develop middleware using:

  • RabbitMQ and/or Apache Kafka

• Build event-driven, asynchronous, and distributed processing workflows

AI/LLM-Driven Engineering & Platform Development

• Design and implement company-wide AI/LLM infrastructure to support:

  • AI-driven development assistance

  • AI-driven test case generation and automation

  • AI-driven documentation generation

  • AI-driven code reviews and quality checks

  • AI-driven requirement analysis and user story generation

• Build and integrate LLM-powered agents to automate SDLC activities across:

  • Development

  • Testing

  • QA

  • Documentation

  • Release validation

• Integrate with LLM platforms (OpenAI, Azure OpenAI, local/private LLMs, etc.)

• Design application-level AI orchestration layers and agent workflows

• Implement prompt engineering, context management, and model integration patterns

• Build secure, auditable, and governed AI usage within enterprise applications

Enterprise AI Architecture & Governance

• Design enterprise AI architecture for application-level AI capabilities

• Define patterns for:

  • AI service abstraction layers

  • LLM gateway services

  • Prompt/version management

  • Model routing and fallback strategies

  • Logging, monitoring, and audit trails for AI interactions

• Support data governance, security, and compliance for AI usage

Security & Secure Coding

• Apply enterprise secure coding practices across all layers

• Implement authentication, authorization, encryption, and vulnerability mitigation

• Ensure security for both application code and AI/LLM integrations

Test Driven Development (TDD) & AI-Assisted QA

• Strong adherence to Test Driven Development (TDD)

• Implement:

  • Unit testing

  • Integration testing

  • API automation

• Leverage AI tools and agents to:

  • Generate test cases

  • Identify edge cases

  • Improve test coverage

  • Automate regression validation

DevOps, Docker & AI Platform Deployment

• Build and deploy containerized applications using Docker

• Deploy and manage:

  • Application services

  • AI services

  • LLM gateways

  • Agent orchestration components

• Support CI/CD integration for both application and AI services

SDLC, Architecture & Design Ownership

• Actively contribute to and author:

  • High Level Design (HLD)

  • Low Level Design (LLD)

  • System Architecture diagrams

  • AI architecture diagrams

  • UI/UX flows and wireframes

  • Workflow diagrams

  • User stories and acceptance criteria

  • Data models and persistence strategies

  • AI integration and governance documents

Client Interaction & AI Enablement

• Work directly with clients on:

  • Functional and technical requirements

  • AI-enabled solution design

  • AI use case identification

  • AI platform demonstrations and enablement

• Support enterprise clients in adopting AI-driven development and automation practices

Tools, Process & AI-Augmented Delivery

• Use JIRA and QA tools for delivery tracking

• Use AI tools and agents to:

  • Accelerate delivery

  • Improve code quality

  • Reduce manual effort

  • Enhance documentation accuracy

Required Technical Skills:

Backend

• Java JDK 20/22

• Jersey or Spring Boot / Spring MVC

• Hibernate / Spring Data JPA

• REST API design & development

Frontend

• Angular 19/22

• TypeScript, HTML5, CSS3

Middleware

• RabbitMQ

• Apache Kafka

AI / LLM Platforms & Tooling

• Experience working with:

  • LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.)

  • Local/private LLMs (optional but preferred)

  • AI agent frameworks (preferred)

• Prompt engineering and context management

• AI workflow orchestration concepts

• AI logging, monitoring, and governance concepts

Security

• Secure coding best practices

• Authentication & authorization

• OWASP Top 10 awareness and mitigation

• Security for AI integrations

Testing

• Test Driven Development (TDD)

• JUnit, Mockito, API testing frameworks

• AI-assisted test generation (preferred)

DevOps

• Docker

• CI/CD exposure preferred

Tools

• JIRA

• QA and defect tracking tools

  
  

Required Experience & Profile:

• Mid to Senior level experience in enterprise full stack development

• Strong experience in designing and building secure, scalable enterprise systems

• Demonstrated experience integrating or architecting AI/LLM-driven solutions

• Experience building or contributing to enterprise AI platforms or internal AI tooling

• Strong documentation and architecture ownership

• Client-facing experience with strong communication skills