Java Ai Developer

Key Responsibilities

• Design and develop scalable applications using Java, Spring Boot, and Microservices.
• Build AI-powered applications using Generative AI and Large Language Models (LLMs).
• Develop and implement RAG-based solutions using LangChain/LangGraph.
• Integrate OpenAI/Azure OpenAI APIs into enterprise applications.
• Design and optimize prompt engineering strategies.
• Work with vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate.
• Develop RESTful APIs and AI service integrations.
• Deploy applications on AWS/Azure cloud environments.
• Collaborate with product owners, architects, and cross-functional teams.
• Ensure performance, security, scalability, and reliability of AI applications.

Mandatory Skills

• 5-9 years of experience in Java development.
• Strong expertise in Java 8+, Spring Boot, Spring MVC, Hibernate, and Microservices.
• Hands-on experience with Generative AI and LLM-based applications.
• Experience with OpenAI or Azure OpenAI services.
• Knowledge of LangChain, LangGraph, or similar AI frameworks.
• Experience implementing RAG architectures.
• Understanding of Vector Databases.
• Strong API development and integration experience.
• Experience with PostgreSQL/MySQL/MongoDB.
• Hands-on experience with Docker and Kubernetes.
• Expertise in cloud platforms (AWS/Azure).

Preferred Skills

• AI Agent Development.
• MCP (Model Context Protocol).
• Multi-Agent Frameworks.
• Kafka or Event-Driven Architectures.
• MLOps concepts.
• Azure AI Foundry / Azure AI Studio.
• Semantic Search and Recommendation Systems.