> Markdown version of [/jobs/ext/3784718-java-developer-ai-enterprise-solutions-hybrid](https://www.wearedevelopers.com/jobs/ext/3784718-java-developer-ai-enterprise-solutions-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Developer (AI & Enterprise Solutions) - Hybrid - **Company:** Genesis10 - **Location:** Jacksonville, FL, United States - **Experience:** Experienced - **Salary:** $114,525.0 - $131,165.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Security, Data Synchronization, Relational Databases, DevOps, Hibernate (Java), Java Development Kit, Java Persistence API, PostgreSQL, Microsoft SQL Server, MySQL, NoSQL, OAuth, Object-Oriented Software Development, RabbitMQ, Reference Data, OpenAI, Search Technologies, Software Engineering, Data Streaming, Systems Integration, Google Cloud, Enterprise Software Applications, Open-source Models, Large Language Models, Spring-boot, Software Security, Generative AI, Backend, Agentic-AI, Containerization, Kubernetes, Information Technology, Low Latency, Apache Kafka, Asynchronous Programming, Restful APIs, Docker, Microservices - **Published:** October 16, 2026 - **Apply:** https://www.dice.com/job-detail/6f82b39b-d125-463c-a731-66823532b947 ## About the Role * Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a closely related technical field * 4+ years of professional backend development experience utilizing Java (JDK 17+), Spring Boot, Hibernate/JPA, and microservices architecture * Hands-on experience integrating LLMs (OpenAI, Anthropic, open-source models) into enterprise applications * Familiarity with Java-specific AI ecosystems such as Spring AI or LangChain4j * Understanding of vector databases, embeddings, semantic search, and context window optimization * Strong proficiency with relational databases (PostgreSQL, MySQL, SQL Server) and familiarity with NoSQL or vector storage systems * Experience with containerization (Docker, Kubernetes) and CI/CD pipelines deployed on major cloud infrastructure * Mastery of object-oriented design patterns, asynchronous programming, and API security (OAuth2/JWT) Desired skills: * Prior experience with financial systems, client onboarding platforms, or enterprise master/reference data solutions * Experience in Agile product delivery, roadmap planning, and backlog prioritization * Knowledge of cloud-native architectures and modern DevOps practices * Familiarity with regulatory, risk, and governance considerations within large financial institutions ## Description We are seeking an innovative and results-driven Java Developer with AI Integration expertise to lead the redesign and modernization of a critical maintenance module. In this role, you will bridge the gap between robust enterprise backend systems and cutting-edge artificial intelligence, defining the target-state architecture and driving key decisions that ensure scalability and long-term platform growth. The ideal candidate will bring deep domain expertise and strong architectural leadership to translate complex business requirements into scalable, future-ready AI solutions. This position requires 3 days onsite per week., * Design and develop scalable microservices using Java (Spring Boot / Quarkus) that seamlessly integrate with LLM APIs, vector databases, and AI model endpoints * Build and optimize Retrieval-Augmented Generation (RAG) pipelines, semantic search modules, and context-aware AI agents * Implement secure data ingestion, text chunking, embedding generation, and data synchronization workflows * Monitor, benchmark, and evaluate non-deterministic AI outputs, token usage, latency, and prompt accuracy * Develop secure, well-documented RESTful APIs and event-driven data flows using Kafka/RabbitMQ * Containerize applications using Docker and manage deployments on cloud platforms (AWS/Azure/Google Cloud Platform) * Write clean, maintainable code backed by comprehensive unit, integration, and evaluation tests