Responsibilities :

- Design, develop, and maintain scalable backend applications using Java.

- Build and integrate AI-powered features into existing enterprise applications.

- Develop REST APIs and microservices for AI-driven applications.

- Work with generative AI, large language models (LLMs), and AI-based solutions.

- Integrate LLM APIs and AI services into Java-based applications.

- Explore and implement Retrieval-Augmented Generation (RAG) solutions.

- Work with vector databases, embeddings, and semantic search.

- Develop intelligent automation and decision-making capabilities.

- Collaborate with product, engineering, and AI teams to deliver scalable solutions.

- Ensure application performance, security, reliability, and maintainability.

Core Requirements :

1. Core Java and Backend Development :

- Strong proficiency in Core Java.

- Spring Boot, Spring Framework, and Hibernate.

- Microservices architecture.

- RESTful APIs and backend system design.

- Multithreading, concurrency, and OOP concepts.

- SQL/NoSQL databases.

2. AI / Generative AI :

- Hands-on experience with generative AI and LLMs.

- Experience integrating OpenAI, Gemini, Claude, or similar LLM APIs.

- Knowledge of RAG architecture and implementation.

- Understanding of embeddings, vector databases, and semantic search.

- Exposure to LangChain, LangGraph, or similar AI orchestration frameworks.

- Prompt engineering and AI application development.

- Familiarity with AI agents and agentic workflows is an advantage.

3. Additional Skills :

- Kafka or other messaging systems.

- Docker and Kubernetes.

- AWS / GCP / Azure.

- Git, CI/CD, and Agile development practices.