Full Stack Engineer

Job Description Experience in ReactJS and modern front-end development frameworks Strong hands-on experience in Java JPA / Hibernate RESTful APIs and SOAP Services Maven Experience with AI/GenAI application development Retrieval Augmented Generation (RAG) AI Agent Development (Agentic AI) Integration with LLMs such as OpenAI, Azure OpenAI, Claude, or similar platforms Vector Databases and Semantic Search concepts Git and CI/CD pipelines Design, develop, and maintain scalable full-stack applications using Python, Java, React, and Microservices architecture. Build responsive and user-friendly front-end applications using React. Develop and enhance backend services using Spring Boot and Python frameworks. Design and implement REST/SOAP APIs for enterprise integrations. Develop AI-powered applications leveraging RAG, LLMs, and Agent-based architectures. Build and integrate AI Agents to automate business workflows and decision-making processes. Implement MCP standards to enable secure and scalable communication between AI models, tools, and enterprise systems. Integrate vector databases, embeddings, and semantic search capabilities into GenAI solutions. Deploy and manage applications on OpenShift/Kubernetes platforms. Collaborate with business stakeholders, architects, and cross-functional teams to translate requirements into scalable solutions. Perform code reviews, unit testing, troubleshooting, and production support. Ensure application security, performance optimization, and adherence to enterprise architecture standards. Must Have Technical/Functional Skills Strong experience in Python Development Experience in ReactJS and modern front-end development frameworks Strong hands-on experience in Java Spring Framework (Spring Boot, Spring MVC, Spring Security) JPA / Hibernate Microservices Architecture RESTful APIs and SOAP Services Maven Containerization using Docker OpenShift / Kubernetes deployment experience Experience with AI/GenAI application development Retrieval Augmented Generation (RAG) AI Agent Development (Agentic AI) Model Context Protocol (MCP) Integration with LLMs such as OpenAI, Azure OpenAI, Claude, or similar platforms Vector Databases and Semantic Search concepts Git and CI/CD pipelines Roles & Responsibilities Design, develop, and maintain scalable full-stack applications using Python, Java, React, and Microservices architecture. Build responsive and user-friendly front-end applications using React. Develop and enhance backend services using Spring Boot and Python frameworks. Design and implement REST/SOAP APIs for enterprise integrations. Develop AI-powered applications leveraging RAG, LLMs, and Agent-based architectures. Build and integrate AI Agents to automate business workflows and decision-making processes. Implement MCP standards to enable secure and scalable communication between AI models, tools, and enterprise systems. Integrate vector databases, embeddings, and semantic search capabilities into GenAI solutions. Deploy and manage applications on OpenShift/Kubernetes platforms. Collaborate with business stakeholders, architects, and cross-functional teams to translate requirements into scalable solutions. Perform code reviews, unit testing, troubleshooting, and production support. Ensure application security, performance optimization, and adherence to enterprise architecture standards. Salary Range: $125,000 to $140,000 per year Qualifications: BACHELOR OF COMPUTER SCIENCE #J-18808-Ljbffr