Java Full Stack + AI Developer

Experience: 5 to 8 years

Location: Pune, Maharashtra

Skills: Java, Spring Framework, Spring Boot, Hibernate, Microservices, React, JavaScript, TypeScript, HTML5, CSS3, Node.js, AWS, Azure, GCP, LangChain, LangGraph, OpenAI Assistants, HuggingFace, Python, LLMs, RAG, embeddings, vector databases, Git, Maven, Gradle, Jenkins, GitHub Actions, GitLab CI, Docker, Kubernetes, SQL, NoSQL, MySQL, PostgreSQL, MongoDB

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.
Solid 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).

📌 Java Full Stack + AI Developer (Pune)
🏢 Jade Global Software
📍 Pune