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Java Full Stack + Gen AI – Design Developer

Lorven Technologies, Inc.United States🇺🇸United StatesPosted Oct 19, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
DockerMicroservicesNode.jsSQLSQL ServerSpringSpring BootAWSAngularAzureC#CSS.NETGoogle CloudGraphQLJavaKubernetesPostgreSQLPythonReactTypeScript

Job Description

Job Opening: Java Full Stack + Gen AI – Design Developer

Job Location:  Remote (USA)

Job Type: Contract role

Job Requirements:

  • Java Full Stack + Gen AI - Design, develop, test, deploy, and support end-to-end AI-powered enterprise applications and digital solutions.
  • Build modern frontend applications using React, Angular, TypeScript, HTML5, CSS, and responsive UI frameworks.
  • Develop scalable backend services using Java, Spring Boot, .NET, C#, Node.js, Python, and microservices architectures.
  • Design, develop, and integrate RESTful APIs, GraphQL services, and enterprise integrations across internal and external platforms.
  • Build and optimize database solutions using SQL Server, PostgreSQL, NoSQL, Vector Databases, and enterprise data platforms.
  • Develop and deploy AI/GenAI solutions leveraging OpenAI, Azure AI, Gemini, Claude, Semantic Kernel, LangChain, and LangGraph frameworks.
  • Implement Retrieval-Augmented Generation (RAG), semantic search, embeddings, vector databases, and knowledge retrieval systems.
  • Design and build Agentic AI workflows, autonomous agents, orchestration frameworks, and AI-powered automation solutions.
  • Develop cloud-native applications utilizing Azure, AWS, or Google Cloud Platform cloud services, serverless computing, storage, messaging, and AI services.
  • Implement DevOps practices including GitHub, CI/CD pipelines, Docker, Kubernetes, Infrastructure as Code (IaC), monitoring, and automated testing.
  • Collaborate with Product Managers, Architects, Data Scientists, Security, Compliance, and Business teams to deliver high-value AI solutions.
  • Ensure Responsible AI, security, governance, privacy, compliance, observability, and operational excellence throughout the AI lifecycle.

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