ARA Resources
Java Full Stack Development
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹2,000,000 – ₹3,500,000 / year
Location:
India
Work mode:
Hybrid
Published on:
23 September 2026
What they need
Job Title: Java Full Stack Development
Notice Period: Any
Job Location: PAN India
Experience: 5-12 years
Education: Any Engineering Degree
About the Client
ARAs Client is a leading digital engineering organization focused on delivering next-generation enterprise solutions powered by AI, cloud, and modern development frameworks. The company partners with global enterprises to accelerate digital transformation through scalable, high-performance applications and intelligent automation.
Role Summary
We are seeking a seasoned Java Full Stack Engineer who can leverage AI-assisted development tools (AgentAI, copilots, LLMs) to build scalable enterprise applications. This role is focused on accelerating delivery through intelligent tooling while maintaining engineering excellence.
Key Responsibilities
1. Hands-on Development
- Build and enhance full-stack applications using Java (Spring Boot) and modern front-end frameworks
- Utilize AI copilots and LLM-based tools for coding, debugging, and documentation
- Integrate AI services, APIs, and RAG-based features into applications
- Develop scalable backend services and responsive UI components
2. Quality & Delivery Excellence
- Ensure high-quality, secure, and scalable code
- Combine AI-driven productivity with engineering best practices
- Contribute to CI/CD pipelines and cloud-native deployments
3. Collaboration
- Work with architects, AI specialists, and cross-functional teams
- Drive adoption of AI-assisted engineering practices
- Participate in agile ceremonies and continuous improvement
Must-Have Qualifications
- 5+ years of experience in full-stack development
- Strong expertise in Java + Spring Boot
- Hands-on experience with AI-assisted coding tools (GitHub Copilot, LLM tools, etc.)
- Solid understanding of SDLC, system design, and enterprise applications
- Experience integrating APIs and AI services (not model training)
- Ability to deliver high-quality output at speed
Nice to Have
- Experience with RAG (Retrieval-Augmented Generation) implementations
- Exposure to cloud platforms (AWS/Azure/GCP)
- Certifications (AWS Developer, Azure Developer Associate)
- Experience in microservices architecture
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