- Design, develop, and maintain enterprise-grade Java applications using Spring Boot and Microservices.
- Build and integrate AI/ML and Generative AI solutions into business applications.
- Develop RESTful APIs and backend services for AI-driven platforms.
- Work with LLMs (OpenAI, Azure OpenAI, Gemini, Claude, etc.) and implement prompt engineering techniques.
- Develop Retrieval-Augmented Generation (RAG) solutions using vector databases.
- Integrate AI frameworks such as LangChain, Semantic Kernel, or similar orchestration tools.
- Collaborate with Data Scientists, AI Engineers, Product Owners, and Architects.
- Optimize application performance, scalability, security, and reliability.
- Implement CI/CD pipelines and cloud-native deployments.
- Participate in architecture discussions, code reviews, and best practice initiatives.
- Mentor junior developers and provide technical leadership.

Required Skills

Core Java

- Java 8/11/17+
- Spring Boot
- Spring MVC
- Spring Security
- Hibernate/JPA
- Multithreading & Concurrency
- Design Patterns





AI / Generative AI

- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agent Frameworks
- Embedding Models
- Vector Databases (Pinecone, ChromaDB, Weaviate, Milvus, Azure AI Search)

APIs & Integration

- REST APIs
- GraphQL (preferred)
- Microservices Architecture
- Event-driven Architecture

Databases

- PostgreSQL
- MySQL
- Oracle
- MongoDB

Cloud & DevOps

- Azure / AWS / GCP
- Docker
- Kubernetes
- Jenkins/GitHub Actions/Azure DevOps
- Terraform (preferred)

Messaging

- Kafka
- RabbitMQ

Preferred Qualifications

- Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Knowledge of Python for AI/ML integration.
- Experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
- Understanding of MLOps concepts and AI model deployment.
- Hands-on experience with Vector Search and Knowledge Retrieval systems.

📌 Java Developer (Haryana)
🏢 Tata Consultancy Services
📍 Haryana