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

Government Systems Technologies Inc. (GSTi)Minneapolis, MN🇺🇸United StatesPosted Oct 19, 2026

Why this role stands out

Elevate your career by spearheading cutting-edge Gen AI and cloud-native solutions at GSTi, where you will enjoy the perfect balance of professional growth and hybrid flexibility. This role is ideal for a forward-thinking developer eager to architect impactful AI-powered applications while collaborating with top-tier talent on high-stakes enterprise projects. Apply today to showcase your expertise and help shape the future of AI technology.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationMinneapolis, MN, United States
Posted4 days ago
DockerMicroservicesNode.jsSQLSQL ServerSpringSpring BootAWSAngularAzureC#CSS.NETGoogle CloudGraphQLJavaKubernetesPostgreSQLPythonReactTypeScript

Job description

Job Title: Lead Java Developer
Location: Minneapolis, United States
Contract
Primary Skills: Gen AI, Google Cloud Platform, AI/ML
Job Description :

  • 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.

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