Java Full Stack Developer with AI Integration

Java Full Stack + AI Developer

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).

Experience Level

Mid Level