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).
