Java Full Stack + AI Developer

Requirements

• 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).

Additional Information

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)

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