Java AI Engineer

Java & Backend Development Design and develop scalable applications using Java 17/21, Spring Boot, Spring Cloud, and Microservices architecture. Develop RESTful APIs and event-driven services using Kafka. Implement secure applications using OAuth2, JWT, RBAC, and enterprise security standards. Optimize performance, resiliency, and scalability of distributed systems. AI & Generative AI Solutions Build and deploy AI-powered applications using OpenAI, Azure OpenAI, Claude, or similar LLM platforms.

Design Retrieval Augmented Generation (RAG) solutions using Vector Databases. Develop AI Agents with tool calling, orchestration, memory management, and workflow automation. Implement prompt engineering, semantic search, embeddings, and context management. Integrate enterprise knowledge repositories with AI solutions. Develop responsible AI guardrails, validation, and observability frameworks. Cloud & Dev Ops Deploy applications on AWS, Azure, or GCP. Build CI/CD pipelines using Git Hub Actions, Jenkins, Git Lab CI.

Containerize services using Docker and Kubernetes. Monitor production systems using Splunk, Grafana, Prometheus, ELK, or Cloud Monitoring solutions.

Core Java Java 17/21 Spring Boot Spring Cloud Hibernate/JPA REST APIs Microservices Kafka SQL & No

SQL Databases AI / GenAI LLM Integration OpenAI / Azure OpenAI APIs Prompt Engineering RAG Architecture AI Agents Lang Chain / Llama Index Embeddings & Semantic Search Vector Databases (Pinecone, Chroma, Weaviate, Milvus) MCP (Model Context Protocol) Function Calling & Tool Usage Cloud & Dev Ops AWS / Azure / GCP Docker Kubernetes CI/CD Pipelines Git Hub Actions / Jenkins Terraform (Preferred) Databases PostgreSQL MongoDB DynamoDB Redis Snowflake Preferred NVIDIA NIM Agentic AI Frameworks MLOps / LLMOps FastAPI or Python GraphRAG Knowledge Graphs Multi-Agent Systems

Core Java Java 17/21 Spring Boot Spring Cloud Hibernate/JPA REST APIs Microservices Kafka SQL & No

SQL Databases AI / GenAI LLM Integration OpenAI / Azure OpenAI APIs Prompt Engineering RAG Architecture AI Agents Lang Chain / Llama Index Embeddings & Semantic Search Vector Databases (Pinecone, Chroma, Weaviate, Milvus) MCP (Model Context Protocol) Function Calling & Tool Usage Cloud & Dev Ops AWS / Azure / GCP Docker Kubernetes CI/CD Pipelines Git Hub Actions / Jenkins Terraform (Preferred) Databases PostgreSQL MongoDB DynamoDB Redis Snowflake Preferred NVIDIA NIM Agentic AI Frameworks MLOps / LLMOps FastAPI or Python GraphRAG Knowledge Graphs Multi-Agent Systems

Java & Backend Development Design and develop scalable applications using Java 17/21, Spring Boot, Spring Cloud, and Microservices architecture. Develop RESTful APIs and event-driven services using Kafka. Implement secure applications using OAuth2, JWT, RBAC, and enterprise security standards. Optimize performance, resiliency, and scalability of distributed systems. AI & Generative AI Solutions Build and deploy AI-powered applications using OpenAI, Azure OpenAI, Claude, or similar LLM platforms.

Design Retrieval Augmented Generation (RAG) solutions using Vector Databases. Develop AI Agents with tool calling, orchestration, memory management, and workflow automation. Implement prompt engineering, semantic search, embeddings, and context management. Integrate enterprise knowledge repositories with AI solutions. Develop responsible AI guardrails, validation, and observability frameworks. Cloud & Dev Ops Deploy applications on AWS, Azure, or GCP. Build CI/CD pipelines using Git Hub Actions, Jenkins, Git Lab CI.

Containerize services using Docker and Kubernetes. Monitor production systems using Splunk, Grafana, Prometheus, ELK, or Cloud Monitoring solutions.

Java, Java 17/21, Spring Boot, Spring Cloud, Microservices, REST API, Kafka, OpenAI, Azure OpenAI, LLM,

6-8 Years

Java & Backend Development Design and develop scalable applications using Java 17/21| Spring Boot| Spring Cloud| and Microservices architecture. Develop RESTful APIs and event-driven services using Kafka. Implement secure applications using OAuth2| JWT| RBAC| and enterprise security standards. Optimize performance| resiliency| and scalability of distributed systems. AI & Generative AI Solutions Build and deploy AI-powered applications using OpenAI| Azure OpenAI| Claude| or similar LLM platforms.

Design Retrieval Augmented Generation (RAG) solutions using Vector Databases. Develop AI Agents with tool calling| orchestration| memory management| and workflow automation. Implement prompt engineering| semantic search| embeddings| and context management. Integrate enterprise knowledge repositories with AI solutions. Develop responsible AI guardrails| validation| and observability frameworks. Cloud & Dev Ops Deploy applications on AWS| Azure| or GCP. Build CI/CD pipelines using Git Hub Actions| Jenkins| Git Lab CI.

Containerize services using Docker and Kubernetes. Monitor production systems using Splunk| Grafana| Prometheus| ELK| or Cloud Monitoring…