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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Java Technical Lead with AI App Dev - **Company:** Shrive Technologies Llc - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $137,280.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Software Applications, Application Performance Management, Cloud Engineering, Code Review, Databases, Continuous Integration, Data Mining, Software Debugging, Google Docs, Hibernate (Java), Java Persistence API, Spring Framework, Python (Programming Language), Knowledge Management, MongoDB, Software Engineering, Software Organization, Data Storage Management, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Spring-boot, Generative AI, Backend, AI Platforms, Restful APIs, Microservices - **Published:** September 26, 2026 - **Apply:** https://www.careerjet.com/jobad/usbec934c4b11480d8f7204d7efbbe72be ## About the Role Experienced software engineer with 8-9 years of expertise in Java-based enterprise application development and 1-2 years of hands-on experience in AI and Generative AI application development. Skilled in designing, developing, and deploying AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent-based frameworks, and document processing technologies. Strong background in building scalable microservices-based applications using Java/Python, Spring AI, MongoDB, and cloud-native architectures., * Strong experience in developing and maintaining enterprise-grade applications using Java and/or Python. * Hands-on experience in building AI and Generative AI applications for business use cases. * Proficiency in developing AI agents using Google Agent Development Kit (ADK). * Experience with Google Document AI for intelligent document processing and data extraction. * Strong knowledge of LangChain for developing LLM-powered workflows and applications. * Experience using LangGraph to design and orchestrate multi-agent and agentic AI solutions. * Expertise in implementing Retrieval-Augmented Generation (RAG) architectures and knowledge retrieval pipelines. * Experience integrating Large Language Models (LLMs) into enterprise applications. * Strong knowledge of Spring AI and Spring Boot for AI-enabled application development. * Hands-on experience in designing and developing Microservices-based architectures. * Proficiency in MongoDB for data storage and retrieval. * Experience with Hibernate/JPA for database persistence and ORM implementation. * Strong understanding of RESTful API design, development, and integration. * Experience in application performance optimization, debugging, and troubleshooting. * Knowledge of software development best practices, including testing, code reviews, and CI/CD processes. * Ability to collaborate with cross-functional teams and translate business requirements into technical solutions. * Strong problem-solving, analytical, and communication skills ## Description * Design and develop AI-powered applications using LLMs, RAG, and agentic frameworks. * Build and integrate AI agents using Google ADK, LangGraph, and LangChain. * Develop intelligent document processing solutions using Google Document AI. * Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge management. * Design and develop RESTful microservices using Java, Spring Boot, and Spring AI. * Integrate AI services with enterprise applications and backend systems. * Design databases and data models using MongoDB and Hibernate/JPA. * Optimize AI application performance, scalability, and reliability. * Work closely with business stakeholders to identify AI use cases and translate requirements into solutions. * Perform code reviews, testing, deployment, and production support. * Ensure adherence to software engineering best practices, security standards, and AI governance guidelines. * Mentor junior developers and contribute to AI solution architecture. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Java Meets AI: Empowering Spring Developers to Build Intelligent Apps](https://www.wearedevelopers.com/videos/1554-java-meets-ai-empowering-spring-developers-to-build-intelligent-apps) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Infusing Generative AI in your Java Apps with LangChain4j](https://www.wearedevelopers.com/videos/1007-infusing-generative-ai-in-your-java-apps-with-langchain4j) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)