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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Developer with Generative AI - **Company:** Nexylum Global Llc - **Location:** California City, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Performance Management, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, DevOps, Gradle, Monitoring of Systems, Python (Programming Language), PostgreSQL, Apache Maven, Microsoft SQL Server, MongoDB, Node.Js, NoSQL, OpenShift, Oracle (Applications), Scrum Methodology, RabbitMQ, Redis, Distributed Caching, Standard Sql, Software Deployment, TypeScript, Google Cloud, Enterprise Software Applications, .NET Core, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Infrastructure as Code (IaC), Backend, Git, Event Driven Architecture, AngularJS, Kubernetes, Cassandra, Apache Kafka, Graphql, Machine Learning Operations, Front End Software Development, Restful APIs, Terraform, GPT, Docker, Jenkins, Microservices - **Published:** August 6, 2026 - **Apply:** https://www.dice.com/job-detail/3ec0eae7-813e-45e2-b606-10fc7aba059b ## About the Role 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., * 10+ 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., * Hands-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., * Experience 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 Have * Experience with GraphQL. * Experience with OpenShift. * Knowledge of Redis and distributed caching. * Experience with AI Agents and Multi-Agent frameworks. * Relevant cloud or AI certifications. ## Description * Design, 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. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) ## Related Articles - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)