Java Full Stack Developer2
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.
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.
Agentic AI Development
Build and integrate AI agents using frameworks such as:
LangChain / LangGraph
OpenAI Assistants / ReAct / AutoGen
HuggingFace, LlamaIndex
, or custom agentic frameworks
Develop advanced agentic workflows including:
Tool calling and function calling
Task planning and
retrieval-augmented generation (RAG)
Dynamic reasoning and multi-agent collaboration
Integrate leading LLMs (GPT, Claude, Llama, Mistral, etc.) into Java-based systems.
Build workflows and pipelines for
prompt engineering, model orchestration, and inference
.
Required Skills & Qualifications
4–7 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.
Basic understanding of
AI/ML
, such as:
Integrating machine learning models
Using cloud AI services (Vision, NLP, Recommendations)
Working with AI APIs/SDKs
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).
