About the Role :

We are looking for a hands-on AI Engineer with strong expertise in Java, Spring Boot, and Agentic AI concepts.

The ideal candidate should have built and deployed production-ready solutions using LLMs/GenAI.

Experience with RAG (Retrieval-Augmented Generation) is a plus.

Key Responsibilities :

- Design and develop production-ready AI/GenAI applications using Java and Spring Boot.

- Build and optimize Agentic AI workflows leveraging LLMs and advanced prompting strategies.

- Architect and implement multitenant systems with scalable, secure designs.

- Integrate RAG pipelines (if applicable) to improve contextual responses from AI systems.

- Work across backend and frontend (Next.js) stacks for end-to-end delivery.

- Manage deployments and scalability on AWS/Azure.

- Collaborate with data teams to integrate MongoDB and enterprise data workflows.

Required Skills :

- Strong expertise in Java, Spring Boot, and Full Stack Development.

- Proven experience in building production-ready AI/GenAI solutions (LLMs, Agentic AI).

- Solid understanding of multitenant architectures.

- Proficiency in Next.js for modern frontend applications.

- Hands-on experience with MongoDB for data storage and retrieval.

- Cloud deployment experience in AWS (Azure acceptable).

Good to Have :

SAP Data experience including :

- Data workflows

- Integration with external systems

- Understanding of SAP Master Data tables