Agentic AI - Java Background

Introduction:

As a member of our Agentic AI team with a Java background, you will be responsible for developing and implementing innovative AI solutions using cutting-edge technologies. You will work closely with our team to create AI-powered applications that drive business growth and enhance user experiences.

Responsibilities:

• Develop and deploy Java microservices using LangChain4j and Spring AI
• Implement Semantic Kernel for enhanced AI capabilities
• Utilize Retrieval-Augmented Generation (RAG) for advanced AI functionalities
• Work with Milvus, Qdrant, and Pinecone for efficient data storage and retrieval
• Integrate LLM (Large Language Model) for natural language processing tasks
• Utilize Spring Boot and Spring Cloud for building scalable applications
• Implement Hibernate for database management
• Create and maintain RESTful APIs for seamless communication between services
• Utilize PostgreSQL and NoSQL databases for data storage and retrieval
• Work with Vector Databases, including PGVector and Chroma, for AI model storage
• Implement messaging systems such as Kafka and RabbitMQ for real-time data processing
• Utilize WebSockets for bidirectional communication between clients and servers
• Deploy applications on cloud platforms such as AWS, Azure, and Google Cloud Platform
• Containerize applications using Docker and manage container orchestration with Kubernetes

Requirements:

Required Skills:

• Proficiency in Java programming
• Experience with developing Java microservices
• Knowledge of AI technologies such as RAG, LLM, and Semantic Kernel
• Experience with Spring Boot, Spring Cloud, and Hibernate
• Understanding of RESTful API design and implementation
• Experience with PostgreSQL and NoSQL databases
• Familiarity with Vector Databases like PGVector and Chroma
• Experience with messaging systems such as Kafka and RabbitMQ
• Knowledge of WebSockets for real-time communication
• Experience with cloud platforms like AWS, Azure, and Google Cloud Platform
• Proficiency in Docker and Kubernetes for containerization and orchestration

Preferred Skills:

• Experience with Milvus, Qdrant, and Pinecone for data storage and retrieval