Lead Java Developer - Gen AI, Google Cloud Platform, AI/ML

Project overview

Job Title: Lead Java Developer

Project details

Minneapolis, United States

Contract

Primary Skills: Gen AI, Google Cloud Platform, AI/ML

Job Description :

Job Facts: Contract W2 | Contract Corp To Corp | Contract Independent | 12 Months | On-site | Depends on Experience

Skills: Gen AI, GCP, AI/ML, Java, Microservices, Lead, Spring boot

Reference: Dice Id: 10315211 | Position Id: 9118377

• Job Requirements JD for 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.
• Start: flexible
• Duration: 12 Months
• Remote: onsite
• Location: Minneapolis, MN, US, US