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Java Full Stack AI Developer

Jade Global Software Pvt LTD · Pune, Maharashtra, India

Software DevelopmentSenior LevelQuick applyfull-time4 days ago

About The Role

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).

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