Java FullStack with GEN AI

Charlotte, NC, US • Posted 1 day ago • Updated 50 minutes ago
Full Time
On-site
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Large Language Models (LLMs)
  • User Experience
  • Business Process
  • Java
  • Microservices
  • RESTful
  • UI
  • AngularJS
  • React.js
  • TypeScript
  • Generative Artificial Intelligence (AI)
  • Workflow
  • Vector Databases
  • LangChain
  • Spring Framework
  • Semantics
  • Microsoft Azure
  • Vertex
  • Artificial Intelligence
  • Amazon Web Services
  • Prompt Engineering
  • Authentication
  • Authorization
  • OAuth
  • Spring Security
  • Collaboration
  • DevOps
  • Continuous Integration
  • Continuous Delivery
  • Cloud Computing
  • Agile

Summary

Job Title: Java Full Stack Engineer with GenAI Location: Seattle, WA Job Summary

We are seeking an experienced Java Full Stack Engineer with Generative AI (GenAI) expertise to join our engineering team. The ideal candidate will have strong experience in designing and developing scalable enterprise applications using Java, Spring Boot, microservices, and modern frontend technologies while integrating AI-powered capabilities using Large Language Models (LLMs) and GenAI frameworks.

You will work closely with architects, product owners, AI engineers, and business stakeholders to build intelligent, cloud-native applications that enhance user experience and automate business processes.

Key Responsibilities
  • Design, develop, and maintain scalable full-stack applications using Java, Spring Boot, Microservices, and Angular/React.
  • Develop RESTful APIs and backend services for enterprise applications.
  • Build responsive, modern UI components using Angular or React with TypeScript.
  • Integrate Generative AI capabilities into enterprise applications using LLMs.
  • Develop AI-powered features such as intelligent search, document summarization, chatbots, content generation, and workflow automation.
  • Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
  • Work with AI frameworks such as LangChain, Spring AI, LangGraph, or Semantic Kernel.
  • Consume AI services from OpenAI, Azure OpenAI, Google Vertex AI, or AWS Bedrock.
  • Design prompt engineering strategies and optimize LLM performance.
  • Develop secure authentication and authorization using OAuth2, JWT, and Spring Security.
  • Collaborate with DevOps teams for CI/CD pipelines and cloud deployments.
  • Participate in code reviews, architecture discussions, and Agile ceremonies.
  • Troubleshoot production issues and optimize application performance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90999956
  • Position Id: 2026-45326
  • Posted 1 day ago
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