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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI-Enabled Java Full Stack Engineering Lead - **Company:** Experis - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Artificial Intelligence, Microsoft Azure, Software Quality, DevOps, Distributed Systems, Github, NoSQL, Performance Tuning, Software Engineering, Web Application Frameworks, Enterprise Software Applications, ReactJS, Large Language Models, Prompt Engineering, Spring-boot, Software Application Programming, Generative AI, AngularJS, Api Design, Microservices - **Published:** September 4, 2026 - **Apply:** https://www.experis.com/en/job/410379/ai-enabled-java-full-stack-engineering-lead ## About the Role Full Stack Engineering + 12+ years of experience in software engineering, application development, or enterprise technology delivery. + Strong expertise in Java, Spring Boot, distributed systems, microservices architecture, and API design. + Hands-on experience with React, Angular, Remix, or similar modern frontend frameworks. + Experience with relational and NoSQL databases, performance optimization, and scalable application design. + Experience building and operating production systems in fast-paced environments. AI & Modern Engineering + Experience integrating AI/GenAI capabilities into enterprise applications. + Experience in building applications using GenAI tools such as claude, copilot, or similar. + Knowledge of LLMs, AI Agents, RAG, prompt engineering, and workflow automation. + Familiarity with AI frameworks and platforms such as Azure OpenAI, LangChain, LangGraph, Claude, Gemini, or similar technologies. Leadership & Collaboration + Strong technical judgment and ability to work effectively with engineers, architects, product teams, and business stakeholders. + Ability to translate business requirements into technical solutions and drive execution with minimal supervision. + Excellent communication, problem-solving, and stakeholder management skills. + Strong ownership mindset and ability to operate effectively in dynamic environments. Cloud & DevOps + Familiarity with CI/CD pipelines, GitHub Actions, etc. + Understanding of software quality, security, reliability, and operational excellence. + Experience with cloud-native application development and deployment is a plus. ## Description The AI-Enabled Java Full Stack Engineering Lead is responsible for designing, developing, and delivering scalable enterprise applications leveraging modern Java full-stack technologies and AI capabilities. This role combines hands-on software engineering, solution architecture, AI integration, and technical leadership to build production-grade applications that improve business outcomes and accelerate technology innovation. The position works closely with business stakeholders to understand requirements and translate them into scalable, maintainable, and high-quality solutions. Core Responsibilities + Design, build, and maintain scalable full-stack applications using Java, Spring Boot, microservices, REST/gRPC APIs, and modern frontend frameworks such as React or Angular. + Develop and integrate AI-powered capabilities including intelligent assistants, agents, workflow automation, recommendation engines, and Generative AI solutions. + Build reusable frameworks, services, APIs, and accelerators that improve engineering efficiency and support enterprise-wide adoption. + Own technical delivery from concept to production, balancing speed, quality, and long-term sustainability. + Collaborate with business stakeholders and product teams to understand requirements, validate solutions, and drive successful adoption. + Lead rapid prototyping and proof-of-concept efforts to evaluate emerging technologies and AI use cases. + Partner with platform and engineering teams to integrate successful solutions into enterprise platforms and shared services. + Drive engineering excellence through automation, AI-assisted development, testing, CI/CD, observability, and modern software delivery practices. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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