{"schemaVersion":"jobsearcher.job.v1","id":"7e0a03d59bae4586e044d282","url":"https://jobsearcher.com/jobs/7e0a03d59bae4586e044d282","canonicalUrl":"https://jobsearcher.com/jobs/7e0a03d59bae4586e044d282","title":"Java Full Stack Developer with GenAI","description":"Our company is seeking an experienced Full Stack Developer with Generative AI expertise to design, develop, and deploy AI-powered enterprise applications. The ideal candidate will have strong experience in modern full-stack development, cloud technologies, microservices, and Generative AI frameworks. Experience in the financial services domain is highly preferred.ResponsibilitiesDesign, develop, and maintain enterprise-grade full-stack applications.Build AI-powered solutions leveraging Large Language Models (LLMs).Develop scalable backend services and responsive frontend applications.Integrate GenAI capabilities into existing enterprise platforms.Build secure APIs and microservices for AI applications.Implement RAG pipelines and integrate vector databases.Collaborate with data scientists, AI engineers, architects, and business stakeholders.Optimize application performance, scalability, and security.Participate in code reviews, testing, and production deployments.Follow Agile development practices and contribute to continuous improvement initiatives.Required Skills10+ years of experience in Full Stack Development.Strong proficiency in Java or Python.Experience with Spring Boot, Node.js, or .NET Core.Strong frontend experience using React.js, Angular, or TypeScript.Hands-on experience with RESTful APIs and Microservices Architecture.Strong knowledge of SQL (Oracle, PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra).Experience with Docker, Kubernetes, and CI/CD pipelines.Experience working on AWS, Azure, or Google Cloud Platform (Google Cloud Platform).Proficiency in Git, Jenkins, Maven/Gradle, and Agile/Scrum methodologies.Generative AI RequirementsHands-on experience with LLMs such as GPT-4, Claude, Gemini, or Llama.Experience using LangChain, LangGraph, LlamaIndex, or Semantic Kernel.Experience implementing Retrieval-Augmented Generation (RAG) applications.Knowledge of Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.Experience with AI model integration using OpenAI, Azure OpenAI, or other LLM APIs.Understanding of prompt engineering, AI orchestration, and AI security best practices.Experience with AI observability and model monitoring tools is a plus.Preferred QualificationsExperience in Banking or Financial Services (Morgan Stanley, JPMorgan, Goldman Sachs, etc.).Experience with AI governance, Responsible AI, and enterprise security.Knowledge of event-driven architectures using Kafka or RabbitMQ.Experience with Terraform, Infrastructure as Code (IaC), and DevOps practices.Exposure to MLOps tools such as MLflow, Kubeflow, or Vertex AI is a plus.Excellent analytical, communication, and problem-solving skills.Nice to HaveExperience with GraphQL.Experience with OpenShift.Knowledge of Redis and distributed caching.Experience with AI Agents and Multi-Agent frameworks.Relevant cloud or AI certifications.","company":"Nexylum Global Technologies","rawCompany":"nexylum global technologies","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-11T11:27:54.944Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Java Full Stack Developer with GenAI","description":"Our company is seeking an experienced Full Stack Developer with Generative AI expertise to design, develop, and deploy AI-powered enterprise applications. The ideal candidate will have strong experience in modern full-stack development, cloud technologies, microservices, and Generative AI frameworks. Experience in the financial services domain is highly preferred.ResponsibilitiesDesign, develop, and maintain enterprise-grade full-stack applications.Build AI-powered solutions leveraging Large Language Models (LLMs).Develop scalable backend services and responsive frontend applications.Integrate GenAI capabilities into existing enterprise platforms.Build secure APIs and microservices for AI applications.Implement RAG pipelines and integrate vector databases.Collaborate with data scientists, AI engineers, architects, and business stakeholders.Optimize application performance, scalability, and security.Participate in code reviews, testing, and production deployments.Follow Agile development practices and contribute to continuous improvement initiatives.Required Skills10+ years of experience in Full Stack Development.Strong proficiency in Java or Python.Experience with Spring Boot, Node.js, or .NET Core.Strong frontend experience using React.js, Angular, or TypeScript.Hands-on experience with RESTful APIs and Microservices Architecture.Strong knowledge of SQL (Oracle, PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra).Experience with Docker, Kubernetes, and CI/CD pipelines.Experience working on AWS, Azure, or Google Cloud Platform (Google Cloud Platform).Proficiency in Git, Jenkins, Maven/Gradle, and Agile/Scrum methodologies.Generative AI RequirementsHands-on experience with LLMs such as GPT-4, Claude, Gemini, or Llama.Experience using LangChain, LangGraph, LlamaIndex, or Semantic Kernel.Experience implementing Retrieval-Augmented Generation (RAG) applications.Knowledge of Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.Experience with AI model integration using OpenAI, Azure OpenAI, or other LLM APIs.Understanding of prompt engineering, AI orchestration, and AI security best practices.Experience with AI observability and model monitoring tools is a plus.Preferred QualificationsExperience in Banking or Financial Services (Morgan Stanley, JPMorgan, Goldman Sachs, etc.).Experience with AI governance, Responsible AI, and enterprise security.Knowledge of event-driven architectures using Kafka or RabbitMQ.Experience with Terraform, Infrastructure as Code (IaC), and DevOps practices.Exposure to MLOps tools such as MLflow, Kubeflow, or Vertex AI is a plus.Excellent analytical, communication, and problem-solving skills.Nice to HaveExperience with GraphQL.Experience with OpenShift.Knowledge of Redis and distributed caching.Experience with AI Agents and Multi-Agent frameworks.Relevant cloud or AI certifications.","datePosted":"2026-08-11T11:27:54.944Z","dateModified":"2026-08-11T11:27:54.944Z","hiringOrganization":{"@type":"Organization","name":"Nexylum Global Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7e0a03d59bae4586e044d282"},"url":"https://jobsearcher.com/jobs/7e0a03d59bae4586e044d282"}}