aimlroles

Java Full Stack + AI Developer

Jade Global Open · verified Oct 22, 2026
Pune Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Jade Global. Pune · full-time.

Pay not stated AI Developer salary

RoleAI Engineering
SeniorityMid-level
LocationPune
EmploymentFull-time
PostedJun 2, 2026 · 4mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build Java services and microservices, keeping their communication secure, dependable and able to scale
  • Create React interfaces, and add Node.js server components or APIs when the work calls for them
  • Connect applications to cloud platforms for deployment, storage and scaling, and build AI agents with named frameworks
  • Work with product, QA, DevOps and UI/UX teams; review code, debug issues and improve performance
  • Maintain coding standards and documentation while supporting secure development, CI/CD and container-based deployments

What you bring

  • You have five to eight years of hands-on full-stack development experience
  • You bring Java, Spring Boot, Hibernate or JPA, REST APIs, microservices, React and Node.js experience
  • You can work with Python and demonstrate understanding of LLMs, RAG, embeddings, vector databases and AI agent pipelines
  • You have used cloud services and can apply prompt engineering and model fine-tuning techniques

Who this fits

This mid-level role suits a full-stack developer who can own work end to end and collaborate across product and engineering teams. The position is based in Pune, India.

From the employer

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).