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Jade Global

Java Full Stack + AI Developer

Engineering

Employment

Full-time
From the employer

Full time

Level

Not stated

Category

Engineering
Not doable from Austria

Country assessment

Not doable from Austria because it is tied to an office and never says it can be done remotely.

Our assessment is guidance. Confirm arrangements with the employer.

Skills mentioned in this posting

TypeScriptJavaScriptPythonJavaReactREST APIsPostgreSQLMySQLMongoDBKafkaKubernetesDockerAWSGCPAzureLLMsCI/CDObservability

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).