Java Full Stack + AI Developer3 Key Responsibilities • Design, develop, and maintain backend services using Java, Spring Framework, Spring Boot, and Hibernate. • Build and consume Microservices architectures with secure, scalable, and reliable communication. • Develop responsive and user-friendly React-based frontend interfaces. • Implement server-side components and APIs using Node.js where required. • Integrate applications with cloud platforms (AWS/Azure/GCP) for deployment, storage, and scalability. • Experience in building and integrating AI agents using frameworks like LangChain / LangGraph, OpenAI Assistants, • HuggingFace. • Collaborate closely with cross-functional teams (Product, QA, DevOps, UI/UX). • Participate in code reviews, performance optimization, troubleshooting, and debugging. • Maintain coding standards, documentation, and ensure secure coding practices. • Support CI/CD pipelines, containerization, and DevOps activities for smooth deployments. Required Skills & Qualifications • 5–8 years of hands-on experience in full stack development. • Strong backend development experience with: • Java, Spring, Spring Boot • Hibernate/JPA • RESTful APIs • Microservices architecture • Frontend development experience using React, JavaScript, TypeScript, HTML5, CSS3. • Experience with Node.js for backend or middleware services. • Knowledge of Cloud technologies (AWS, Azure, or GCP)—deployments, storage, compute, container services, etc. • Strong communication and collaboration skills. • Ability to work independently and take end-to-end ownership. • Working knowledge of Python for interacting with core AI/ML services or models. • Solid understanding of LLMs, RAG, embeddings, and vector databases. • Practical experience building AI agent pipelines. • Knowledge of prompt engineering and model fine-tuning techniques. • Familiarity with: • Git, Maven/Gradle • CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) • Docker/Kubernetes basics • SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB) Preferred Qualifications • Experience working in Agile/Scrum environments. • Exposure to messaging systems like Kafka or RabbitMQ. • Knowledge of security standards (OAuth2, JWT, SSL). • Experience with monitoring tools (Prometheus, ELK, Grafana).