Java Full Stack + AI Developer

Job Description

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).